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Chain Codes, Area based Retrieva, Moment Invariants, Query by Visual example (05.05.2011)

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Last lecture we were trying to figure out how to work with she in what makes a shape up to 6 men shades of of images were talking about not basic interaction with images way just of defined vessels and say you know like are not of the images made be on to some kind of like a part of the images may be background or the ex object of wrestling algorithms I'm on the other hand were a kind of discussing out what makes an engine edge so was part of become too and what is not and were talking about the gradient of based reasons to to to find out where they are shift significant shift in the intensity distribution and set to shift makes for a good edged because it has shifted the intensity distribution I'm also are all vigil at perches and can can be recognised the shifting can see what happens in the image and that means what the value of Oakland to a few conceded the I'm building on segmentation in that way was kind of good segmentation and we can see some of the pictures which can meant The big images quite well you know what we see the basic traits of the of the image and the Duke will and talking about metallurgical operate as a little bit so cleaning the data removing some Moyes I'm a filling Holmstrom in income but where we did not talk about and lost pointed out at the end of the lecture is that we still have no way to represent shape shapes but with no idea how to stop them what we do with them and this is what to do today big we go into shape based features so what is the actual feature the which full representing which which are about some very simple but features like chain codes C a chapter C a and the and the want to Dubai example just to see what what happens somehow be straight features and can be used
This is C a Areas some help about figures out so if you got active Qantas Allwood lost a talking but Watership turned from Asian get this image that is kind of like shows Ali's lit bullet lines
That it would you basically have an image Which does not help you to much of the time this and all we have to now we have to see about what to do with the shape but we of extracted from the and as well as we could either represent the individual objects so we found a phase in the pictures that represent the space as this is the fate of her that we could benefit represent the entertainment and what your own images from the day with whether to faces on the winner of this does not only needs the reputation of each individual shape but also the connexion of the shape of suspected each of was something like a tree which could be kind of like something here in the UK like for like a boy he obtained so the different shapes 1 could be drawn down he said Rodrigo shape way and the other 1 but this Welch's thing appeal which is good but not good but there was together make the tree in the likes of the Hold image Some information carry some Syms's some more semantics and if we go down to describing individual objects of all the images with the of something that is at stake in the than the and we basically talk about the description of a column to those on 1 soloist as and shaped and this is closed growth usually that we could save it will be area that look like a tonight not become to may be occluded somehow but the timing and to have a big area and the and the and the and the and the something that something like like the trunk is very specific the find the area has a certain from the area and that is a big difference brought over the and there the of a simplistic and the but you could also take a basically the shape announced that there must be something like this trying to steal area here to make the elephant and as a pin sozzled the description of the shape off the area factories carry some some information And some of us would you might after not end up with is you use a lot the state of intellect but that takes some information from the area for example but the area is full lodges can immediately distinguish hummingbird from from an elephant but the respective size of the area coming but will take a little area where the elephant with the help of the space And to get a was that you could also take something of a curse some characteristics of this kind of hybrid representation taking area based and come to a based features into account of what I do with the Intel image tonight would you do if you don't want the individual Object only the elephant but you just say you might from the image has a certain pattern of edges and this is why want described the this for a long to retrieve The body basically do there is that you figure out what the dominant and 1 of the early recognising part of the of the picture the out all the noise and then work on the edges such and we can do the same thing basically wooded with the colours and some of cost comparing the image pixel by pixels in terms of colour was very tedious talks with in want to do that sort but we do we use his to grab a we use of OK so much yellow and so much to them Madrid the 1 of the in the White and we do the same with with the edges basically so much edges of certain Langford somewhat edges of certain direct in the image with don't care where they actually are But it won't read faces you not like that would have 3 oval-shaped somewhere in the image and the skies we all images of 3 faces and also in the tune of 3 eggs so and so We are losing information in leg by the by going to the aggressively definitely information that it gives us a on and more efficient ways of Comparing images on far better than point-by-point pixel which doesn't help you the images shift just won't accept left of something I Molecular takes about pixel of compilers of the same name will result in basically Australia said that can do this kind of Her book So this kind of how we represent shapes all plentiful today when we want to talk about but firstly says the document which is very good for the recording By the way idea K was a recording said that helpful
UK Good so end If we have the shapes In some images with Sigmund the match correctly and weekend interpret the shake was Different to the notions of all familiarity images we could help ways look for images was simply shape up the basically the images that contained and somewhere the date the Gray and went in the middle the picture and all the photo off some hit with an elephant toy like a touch and go as a No something that as long as elephant shape It's OK and in the pictures that does not mean however that the 2 images of the same perception loathsome levity The image of a man and In certain It is totally different from perception a point of view And the image of kids following a blue clash at a pig and you get you get on with the difference between the 2 of them are similar in terms of an elephant of some kind of being in the pink The could save known all value on images was simply dominant shape enough at don't care about If there somewhere is an elephant in the case told the and a 3rd of their value as and on some advertising campaign posters in the background of the movie was a Web but rather on images that are similar in a perceptual said that it was a big and in the middle of the picture it out and get it out again again with books 1 hour but were enough that it looks very similar to me up in the Derby and shapes Are the same And this is actually a totally In put which What we do in representation and will be doing simulator 2 matches and it is just different notions of American and but fact the value you can ideas about this now no right all right The best possible and depends on your reputation for you want to have what you want to see And that was a reasonable ideas and king and a meaningful definition of Logic you want SAS or which depends on the particular application found a way if we go to country based comparisons from than we find all the images was similar shaped objects and the outline refugee just seen as close computer and you grow like that would be good for you need to take them
Fadse a not not to get and elephant shaped close come to of just take and whom away drawing the wrong thing about so that you know on the might of the funds would be made nice so with the money they were but the And you can get those close to of basically of for segmentation out what we've seen in segmentations that for example you remove the from last time that the the contains very many different Pattinson because of the shady of of the skin and then and part like legs so it was all so different colours on the back of streets of sometime Street and and and I thought this is most took the lead segmenta to death United was not live shaped it was this which talks but and pieces of that even on the and and ideas and and and and some straight from the back the and this has of this was a more left it to the very often aloft not by determining the actual shape that he won the FA difficult thing from 6 am But the semantics at all success with the bat described such a common to than just by looking at the the edges and the image and where walked so that kind of like chokecherry semantics of the same and if we look at it and matching of shapes celebrity measures that we have just had a new comedian distance or something pixel wise comparison is not work any more because when comparing shapes would you agree that the state of the same all the difference
But seem to be saying the and the pixel was comparison does not period because this 1 is bigger And they'll want this 1 is kind of Shifted removed just about 0 rotated by some degree but still sustained shade sustained calm and what we need is a simpler to measures that is in the air he was respected should of metal where the Apple or Corus on non on the picture which was paid to scaling the mesh big the Apple actually with a small at political with what you can do upload movement And it should be very and was the 3rd rotation And that's not easy to build a huge something that we after best summed some kind of intelligence into to make your measure his American measure invariance to those 3 Linear from the book a this
But we want on the questions it and what as with some of the public part of that But it's it and if you ask me I'm if you can You don't something like he occluded and then you say or what is the apple shape the Bush it obviously like that and then it goes in the UK They have to possibilities you can say well and this is not ambush a with this kind of like a take a bite out of the Apple something like this different and of course it is the semantic to decide whether an Apple is just cluded that whether there really is a piece missing and whether it's supposed to be that way again if it but it's not a decision that computer can make And you can you can all was Colin member experience and say no apples around and the something that Apple shaped but by missing a all with completed but then you're making rules of to interpret the image The images show A print But is there something missing in their something uprooted them well at this point we have to live with it A print Yes Part of the microphone ferry But each year the teaching that If you like for Apple like exactly That's not the way without having a read I model of the elephant that I can build a I'm and a measure of the to measure that really matches the site few of knowledge and the head of the will of and the review of its just possible without having to complete model of the of the and So purely from images you come to that because and as you say the perception that it looks totally different From and seeing a cat from the back of the book from the bad May leave you and out what it actually is Seeing them from the front Will probably not be fell a means something that looks at City left from from from certain a deal on This definitely not looks to move from and that shows that the building a similar to measure that can reduce the which between these things that is not an easy time without having domain knowledge
So all we can do is kind of like we can we can talk about Linear transformations very simple Linear information making things bigger shifting things space rotating things and where we can say 1 working with kind of based images is that the wisdom that the image gives his W different we can see that he's damning with the circus shape and this question and we have the squad shape here and the way in the shape yet again with the same shapes the visual impression of the images of a different kind
It says 1st talk about some of the features that we could use to focus on all that we could use to represent some of the kind to feature and 1 of the things that we could talk about the number of overseas so it is it They shape that goes in 1 smooth lines policy points I'm Another possibility is what area actually closed By the shape of the shaped like that it is close law of area if became shaped like that Enclosed very little area of the length of the to of what is probably the same or even longer than the case of So basically high all over what would amount of areas in close and you can almost argue about the holes and some shapely say OK this distinctly was this year and closed a lot of area what if something like the same size like this with this being the shape of the world Distinguish under different Gallen all those round of 3 of the 4 Grand has along Area included the other 1 has not so you can or you want the also talk about eccentricity and stuff like that of how stop like the shape 0 elongated is the shape of the typical indicators of for so a week and say this is more squalor this Thesis more rounded in this is eccentric this century And of course indicators of could be used for a 1st indications depending Mauriac if I'm really my application is to distinguish not from by as the last of its easy to use some of these represent the shapes because and offers roundish and the ball would is long dated so measures simple measure very simple measures like the eccentricity of the shape But why would I be sufficient distinguish between the 2 Of over can not distinguish elephant from the night of from the board and of the Met competition 8 gets and the more different shapes in semantic me to her The more complex the measure Sometimes load of the features to could bombs
But if you have such numbers in like you just have the absolute centre of the she the area that has some of the time by the by the by the kind to of enclosed by the kind to basic has something to do with the length of the country If the country was very small can not out of the area it can only those love out so you don't have scale invariants if he of the same Come to adjust blown-up it contains more area but it's not the different kind and you can unreconstructed shaped from what you know about the eccentricity or the area and And you are likely the Exel simulator he of shapes justified by eccentricity is is very doubtful you know that if you something that you would would like that to a be different shapes eccentricity is the same so that might be very much misleading Boston Inchape description below the foetus can either be used if you very specific application in mind not really distinguishing up from both methods and then it can be done that you need other features need to stay up a I've semantic finish for example a one you all know that in the subprime are like these these waiting machines the scales and you take a vegetables and put them on the scales and some supermarkets sexy I'm very modern scales that that tried to recognise what you put on top of it was little camera and that they can like figure out what it is and that it doesn't work particular well tried out denied a bunch of of apples and said all these seem to be on Repsol Apple oranges and the way it's all not of pineapples would have you now like and seemed seemed follow random scene from colour driven to me but I know where my eye In a sense in this scenario it works in all but because there will you have a new way of vegetables that arrival languished like like the lead all be are must on the end of walled boiled longish which occurred in like things like that you will through that are all round his like the apples on the pan and strawberries and 1 of enough so basic distinctions with simple features with simplistic feed may be working together with out because it can help you because they are such a shape in our the shade what is that What kind of food Now it's a cucumber because screen you just don't see that who could not get it could be that yes it could be that you can that yes Edwards orange cucumbers dream of unknown with a screen Ike and immediately enough limited the possibilities of what it actually can be It could be that the ban would be yellow of and so if you if you computer huge during the combined in certain features was restricted each other you can do but not can also and not the media But the simplest M Africa and taste of shapes of so called chain codes Freeman
And this is actually a very old The world reputation in the Sixties beginning of the Sixties model thinking know what I'm I have this close come to somehow fell by fund Getting the right but not 1st time that could well have some hope of Prime but the Omega Some said some kind to could be Edie represented if you just take a certain point like Don't you And then you just follow come to the end kind of the way you do so I'm going straight ahead now I'd turn right now and going straight ahead and I'd left and and going down and blowing up the something like that you travel around the country from some point And you do what you do and of course this is not like any Meyer Lecea live round it because the full of the kind that if you have a higher resolution and basically bring to pixels for close come to what choices to you have made your with peaks of the dispute current picks and then you have the pixels that are But decided now And you can either go there all their goal with the amount of I'd and just need to do not just have a very limited number of ways to help from pixel to picks up and David close Kontilai will not have holes in them quite easy but by simple said they would do is exactly what I'm just saying you like that you want pixel not direct Shinko where the next big than the country and I'd have to decide what you conduct all plot walked out of the way and a can do attitude and the same way for although images of my collection for the shape of my next and every for every time that goodnessdirect idea No 1 room for every time I've gone this direct 19 0 0 and the White called chain code because it basically the gives me a chain of numbers just without being what steps to take in what directions to take the step of the easiest ways so do is basically OK I'm starting with some big soap opera and this is the 1 year and the 1st ago up here which is why ideal 1 then I'd go following which
Is the noted by 0 0 up and 1 step here again this not want and this kind of like is the chain code of the image of The easy to do the simple to By L The Blue on the black or you like into the red on the black Her and that's kind of like He notes the change up so this kind of simple but with its gains in the yen not because it Viagra along the way these ideas are now of the numbers
With virtually certain and that and are all because of the relative something I'd go in different directions with its translation in value Yes it here because it doesn't know but it does matter whether shape a person the pictures from really just the noting from some point Not related to any pick the picture public onto a space never do the same thing only in the same kind of money problems and comparing the codes Is basically the rotation and the scale and the to a case that figure out what can we do with skin and so long squid here we want to win those squid with the difference Eigo 5 and that the new make 5 0 by goal Who 1 7 Picasso's in this direction he makes 7 0 up and if you're going on but if you scale it's kind of the same direct she of So we could do is could just the No 1 0 year and 1 0 here it doesn't really matter What I'm doing a penny And then out of the same year appeal Sixes up here even more Essex's again Iwas do not 1 The following year Fares Following the murder of fans Again would be just the same sort of Kent And then down here and I don't need to Same coach OK Different scale Rectangle saying code British Workshop
From back doesn't work happily who noted the difference It Now that kind of like yes you in the workings of the rectangles really have the same codes quest it doesn't matter whether whether something looks like that all something like that on because you just don't Oosterhuis as the surge in the same if you can of skin in down
Has not raced Kate and to all basically by making it scale in very at losing summoned from killing some of the difference But is it really so bad amid if you complex shapes But it's also bad because they will change very often so you don't have many big part that are put together and and basic change of such a for giving you impression so you don't lose much and the squares direct and that is on Some degree of bombed
Less to do with it is to say but it doesn't really matter if the go out of a go down Because whether the rectangle is like that of the writing is like that The three man again so we do it is kind of reduced the chain code more 1 said that the basic the the opposite direct and I'd just the same way it doesn't matter if I'd go there and then got out of there and then go down from this is basically a rotation of all think of care so it by consider this point it's just A rotation of the image up and that can use the PM reduced thinkers and the and the opposite Various just get the same code time
The next where can do use like him Either take all just look what happened that can say what they they I'm not not to interested in in what happens from a perspective of how many different possibilities I'd have going somewhere that just want to see what happens with respect to the last pixel So if Island in some direct The question is not really Today goal into some of the direct sum But that change slightly The deaths follow the direct she further So how long the German during the same directional what what makes she tried into some some of some area Well basically do it because you Take hitting coach and just the nerves what happened between 2 parts of the And checking that happens here so for example if a year and just have come enough To opinion go here just as the other 2 So I had just taken difference between the points and The row minus to make money is to and to minus 0 Take the 2 of them and if to my to pick 0 up Kent Just take the difference between each to each each neighbors each adjacent numbers and then Nike and began to take the difference tank at the reduced tinkles and say that it doesn't really matter whether going up of going down to No pick the same thing for it and then icons and reduced the tanker wouldn't say Well doesn't really matter how many zeros I'd have a joke the just folded into 1 and that its main oppression of what actually be was the advantage of this For the advantages as we have with the UK and the multi multi resolution announced We get very small numbers and a lot of serious he in the code because every time I walk into the same directly to get 0 but don't have to be note that 3 of the 6 0 1 of the Many 0 4 shapes that the went to some sort direction and there you change for breaking point only would review Edgeworth where lips to some 6 or something from and that some of which are at the very pretty good idea for compression clutching a lot of all along of shapes that computer and this compression mesh may be worth of this is just what you just did for each of Other my this because take the difference between 2 and Jason peppers This year old minus to his minus to appeal get to minus to is 0 To minus 0 8 is to UK a you your with the difference between adjacent you remember what we did in in a month the resolution and the with the difference and and every which is kind of the same tricky like it takes the average and and I just take the difference was that 1 of a pop up a menu no difference to the other public and to to use this Everett up at same thing here Take two adjacent has been the difference and to minus to of must
Just If it were for a against what you their Yes Habit of the But I'm you different Archaic the which coming to let than you would notice and it is the sort it out the rigour point so stopping the tinkled from here Give you a totally different image of Tinker and stopping the chain code from here A Something different will result in different chink of Wigan into that an amount and So if you take the reduced difference chain coats you have been another ExoMars the and other advantage because you get some conditions potatoes and very and getting taste and very interesting codes obviously is this not an easy thing because they like if you should something also you you change and And what happens with the reduced difference change is that if you take the reduced chain code him out of some image and the and slipping it to a different image
You will find The difference between things a Kent Of the shipping my 2 of us to And the different Basically you between things angle of It just the same See So basically without taking the or minus tool that 1 minus 3 It doesn't matter up can also hatred of coffee mind to But 2 months to go up Wrong the slight The chamber tell the reduced difference chink other same because it just described the right not but it was the verdict of life in the horizontal but and the while something in between Oka
The slow pace it happened and the problem really is that it works only with for patients by multiples of of 45 degree because than the writing of state is a riot and of what happens if you take shapes of smaller shape hugely in a pixels Peta in out in a grid and them not by 45 degrees he will not get proper battles that you will get some up affects what basically happens is if you have a squad shape the and this is shifted some the good some some some some may be a 70 degrees of something like that again What happens if is that this Canopy expressed by the pixels and more way it has to be some But step But And this of cost difficult because not yet differences of 0 The difference Here again the differences of the road here different you don't have a right Anglo any more because we ought to take the stand and and broke not and will be end up his this chain code him so why this is the 1st I'm now not is to get this kind of the 1st To follow go 1 in the direction and the vertical direction 1 in the eye her the original the Bagenal before starting again 1 in the world to go direct The bond of will pay in the region you talk and bomb and this is constant breaks is constant differences and this you might want to see you want this month 1 can produce it because the changing all the time boys 1 step the vertical 1 step ahead of wants to put her 1 step that it's supposed as being Esquerra it's supposed to be a line that you follow straight becalmed because of the grid a This is 1 of the problems that you that you have with the taking of the 2nd problem is what NASA The 2nd of numbers is not unique Because you stop at different point You get a different set of numbers From this approach opprobrium but
A point in and and surrounding the public is that you could have bought a nett couldn't the suffered some sort of shape numbers wages Satan and not so much interested in the idea from pixel to Pixel I'm interested in what happens to the kind to of bread right angles just go straight ahead and do the end of that are concave for the climax enough they describe different Destructive and shapes and it had actually dalmatica so much whether this is the right thing or all this is kind of like a man like that It's still a similar kind of shape simmer kind of come to die would just the note these to by coach Street because these are concave point and don't care whether it's really you now like the concave quality as a 19 Greek or not or whether it's do not like it Gives you again loses some information but also deals was out facts and a good way
I'm So that you want to do it is to to to deal with the problem of in the future and like start at every point and get different that sell and Yes represented in a way that was a prop 40 could do it is to shake numbers I'd take the psychic from which stations of the chain but So basically a stop from every Pixo on the country to and build the shake up to the same this the squad that we had there was 1 0 minus 1 basically a came up as a bid by London 0 minus 1 in the world the 0 minus 1 of the 0 0 1 and finally of the mind of 1 0 1 0 0 is the 3rd permutations which basically 8 Kameni tournament from starting on the different edges this is the 1 that stops the and the goes back to the wall stuff he that it could happen this is the 1 that starts here And goes there because it is the 1 the stuff here Those the and this is the 1 starting here during the UK and different just psychic from a taste of the same things and I want and not can is icons So list lexicographically by take I'd take this most 1 1 starting was 0-pc and no 1 starting with the minus whom is the smell and the list for a new lexicographical starting with their most negative point is that you tinkered having the same beginning and look at the 2nd Place a pan if that was the same in the 2nd place look at the place and took on the pitch to take it to permutation side executive the same band And in the shade symmetric can sell if 5 some other something that he had going round what after the wings and going round the other way although we could also stopped on their way to the still of all the other wings and different direct it doesn't matter just that kind of thing that would have threatened the said that exactly the same at the matter because and those the shape after be stomachic but you might have not want will be the smallest and a used exactly that smallest representations full and building The shape of not solve the problem of where to start complex with sold in the problem of the view that in the including building or the permutational during the month in taking over from the book so good
But Now we still have to figure out how do we see you will see How do we compared to end the and when we do that But at the same thing as as as comparing to strain what we do if we competitor work And was also the use of so called distant from all changes to add to or a make in 1 string To transcended into the other 1 from so out for example the words caps And have In terms of strings After similar because after changes the to an age To kind of transferring them into each of the singles while the follow word checked Because they have to do is kind of like after being Intramuros 1 led India The age of 20 and and that the basic notion and its distant wanted transfer 1 straying into the of was the chain curbside just of strings containing numbers of want to get them into each other and then has a lot of different distances living standards advantage and the and and the and the slightly different in in and what they do but the basic principles the state They defined basically the
That number has from transformation hot to deal was drinks and what you could do it you could have a substitution you could like added with the cat and the and exchange letter What I could and should do is insertions again just been stood a July get chapter of the N word to use which of could just be viewed the age from the Gentlemanlike kept book these different But transformations all different different things like an applied OMX OMX OMX string and a 2nd of the different transformations If found Any seconds Will incur a some kind of costs stop at just say are basically substitutions cost so so much that the insertion processor and so much and that is basically the idea that a have some highly changes strange inserting 1 thing I'm I never tanker of 1 0 0 1 9 0 0 and the London 0 1 0 1 0 0 is a very similar way or just inserted something new It's not too difficult operation in the UK if it doesn't change much led by the fire in the exchange something like this 1 0 2 0 1 0 something and and a really make this changed that might be more difficult than it semantical terms saw what now basically do if it is that just say substitution will cost me sound so much and the insertion will cost me some so much and the smoke of the sounds of much and this is what I have to minimize along the minimum wage of transforming string ale chain code a into tinkled beat Based on the street operation and found The basic idea is that when the minimal costs because they can be found by for about number of of different seconds but the minimum is kind of a unique and this is what a defined as the distance between a and B The less costs is incurred to go from strength to stringbean the better DeNiro they are and even
But the advance the standard and kind of generalisation off of the living sound as if some additional operations where it's which between letters and that are basically part of club part of a chain called so I'm if you have to a is and beat way go to 1 a and B so the and comes earlier and then you go the more into It was a shift that could be made also duplicating some things longer in 1 direct before the possibilities for short make something and edges some hope for all of operations Lawton generalised the advance the clinched understand and calls the also have cost that are anchored and now we you 3 of the minimum total value of all the information that it is again the advance to the UK
The advantage of chain code is that they are literally easy to calculate that also we had some problems with the scaling invitation and similar Amin discuss them away and we say it's not really rotations by 45 to Greece we get problems with the big 4 all of that in our American happened a lot of things now In any case much of the information that he actually have it is it is basically Molecular you can't really distinguish where from rectangles and more than the stuff like the lure of and and compelling to chain code but it gets kind of difficult because of the need to find a minimum of and other tree number of of transformations to cancel 1 string into each other basic do that Efficient ways of doing that Basically Alinea Programming of open for you Jews you use Linear Program Fault which tries to figure out what the what the optimal strategies or use greedy strategies trying to make a little of the cooking Corus little costs of possible analytical with the size of of of those caught that stuff like that but it's its work no gives the not something with the help of 2 of this kind of what you read Get question floating codes
Some of the things The to area based retrieve and on the day idea of area a based retriever is that you don't really follow the and shade of this cost shaped in a way that you could see the interior of the stable of what happened and this sort of based very good if you have very complex shaped like faces and I'm and what what he's seen faces usually that you have different designed the going for the face which may mean something all might mean anything but the basically all round shape alike and if you again like now fruity sample take the colour into account you can distinguish them more often than not from from the background says something left at no flesh colour and and and slightly will in shape is very off some of the image of pace and the spacing do what you do all of when describing the interior of shape and from again you can Preserve the information that even though all the image transformation of for a features and Suffolk to describe how to shape the you could again go to the future and says to typical things like about the size of the area enclosed or something like that these are numbers that means something
So I'm over for the transformation of a lot different transformation that I could do with the transformation we of the or the but only you transformation Walter information different transformations just transforming the shape and calm to it said it had reviewed the into a different phase and and that different space you can see some things you can describe basically the The area by some of the and the the number of Coefficients is unique for the area and you can actually reconstructed using the Scottish structure representation you could or always go was primitive shapes and say this like shape rectangle shaped like where shape of trying the shape not like and and you just work with the primitive and try to figure out how the the I'm image looks like well you could have geometric representations sold area of the shape of mumble Fault compactness the symmetry the moments of some of the expected value something I'm that that you could use actually will reveal that in a moment 1 of the possibilities of the moment and very invariants
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Preprint neat so that kind of like very good idea
And this is where we go into the Dieter at popular the but are Bob was 2nd kind of of up epic ability but the beige will all but perceptual but the bird your and to book a solo with the fact that not all of the media's by the identifying shake the fuel costs either identifying shapes the and when you compare images you should be made Jim things like to have 1 in which is a paid off the and the other 1 has another back and say you're looking for a new which with a cat and the 3 men who have was back looking through the air book at its rotated but he is frustrated that you can put gather backed by a book thoughtful and on but maybe in the database and have been the media's with had the some bought some flowers and for way up the in each description what it says is that the overall impressed by the media's what for or the and their so action the only man she is what may be the fault if I'm going to want there used to be which than what they have to begin but once simulation is that these figures here is made by hand and the tree and what I'm going to say to find this simulating the database of these such because they also have a similar correlational but that and the 3 thousand rather than that of somewhat more than that the loss more power over the base of the skull Wollemi description but overall impression is what time and now the idea of recording the gritty is just taking the picture of the way before the game that made by the scandal in which it table for many ways and those of the other possibilities joined the just imagine how were people who would before the deadliest political denied the just based on what to the city history and for my drawing icon brought by the that because they use my immediately that they should go to book a access to would be that it just to see what kind of system thought what they need to what the people and that some of the wonderful by which world of 14 put their world side description is able to perform shaped simulate but I've started with the game in which during the cash and lonely based on by the full they provide more auctions ball culpable for for the 1st time that just over the next 2 or more information about the house and then the she and what they would have expected sold negative the bosses of the most with the Sun and go Web and the and other draw brought their meeting room for Parallel thousand doesn't for that but then nice will has written but she made their white not right she wanted to be based company and these were the words sold by really don't want a bold has been in full of the kind used by right though this kind of convinced me that it's not that easy tool for for for such a shame that it is not though you want find the end over the way in the US which under the return of job and couple for the provided for 9 people such a procedure that is able to their between the beaches and the White flexible who allow also bought sketch what they are basically booing use their segment of the beaches and the UK but in the end of the day remember you from the remember with both 1 last last week of some more we were discussed above some example somehow for it to get to the ball over the bulk of the gradient the book about the for both to those with your down so over this is lower the basic the also want to go they want based on the edge from the media and the public transport this year just as the speed of the deal which is in the shape or before called the body of the and the and the user will from and draw is pretty which for providing as a picture it could also be because the by the land white and extracted begins and then these for says he greatly which will be called the with the peak of the boom and entries in the victory of a and the and the result will be a world rankings based on the simulated between the mobilised pretty and the entries in the storey of the the procedure is actually not that bad difficult but there would see also quite the Greek sold escaped which followed inside the Bonomo at the edges due to the expected this same will be performed in the database sold need is for example a few days from the public and then though it expected would be for 42 images of the city that it and that by the board and the next and then made for the evening to the abstraction of or so it would be a great idea to use the site as we want for for this operation was so we some the but we use the size exist and across the globe were paid for by them but the need used for a wide world of what we have to put the Tories crippled between Computing followed the to and the the site but that was the company that gradient the gradient though of the need still just old fool bowled identify the edges and what they've basically that is a bit of weight but and a breach gradient over the whole of the land and the and their the gradient public BigSim in each of the 4 Behrajan for that every gradient of the over and they said they were for this great but then head of BigSim there is over the 1 1 0 4 painshill in order to pull on the jersey the main with the only non shape and boom and and they did what they say is OK may be these every about the for 4 in basic your would before the which is not far away with what will revoking for use with the 4th with the a pulling step but the what we actually mean is that they do which is be would enable both of them in order that he is also available on woman and her point employment and and the company that bought the is the local significance of wealth of each of the Excel 1 0 neighbour who disillusioned all the 1 by the sister of the full back in the addition of the the word of 1 of the worst of the worst of the team has also been appointed of something from the wreck of the appointment of political after this systems that they were called back to the UK for a mighty and what in for the mould here is the over the event from the United Kingdom is that when you lost it would not 100 per cent precise found sold you may he told the newspaper into the about what you leave out some of it should not interested about like were on the other side where the fund is not for playing well for the things have to be the land where and when make and that for this reason and they they've well on began from local corrugations went performing the made through the idea is users that while the divide again this for says the and the author but victory where in in the century in the by the brought them up for you will be put before the BigSim by but just because of exact the procedure for the Tory young Sylvania divided the GRAPE brought and 1 for city would be right now book on their books you would be made is that we need to and the victory of 1 and 4 the other and 1 that is paid by the ropes 1 by 1 in order to cope with this imprecisions they've said why not chief these broke but on the other 1 would enable pulled off the feat my must be and minus foreign for and add the stop is that all close to the light of these 2 will just for this year and for for made them these use was where and the some of the peaks of the same I'd been busy with the news that that she is built of stimulating the and go committee will be where we should go with the to is that they have won and brought so how we should be made and it is that you have for example 1 of the city by pre paid by the by where from the victory of the and with the might be off my most beautiful few months for the 4 weeks to just move but on though the where rejected with 42 of just before with the look on the basis with the same I'd been density for each of the various on them up some of them up and that the local simulating but the and want of their between the EU and that will be sold to some of the law of the land and the people global correlation and that was before you get this year that he could be the origin the and the and the and the and the peaks between the board and the and the job this procedure is that though the Tree beauty though would be was Bill will be joining pressure and though it's too old for that on the whole were some more restrict struggling when brought them a deserved and the easy quite expensive expensive went before being this your home their these kind of making is something we need to lower the risk that the current bull more than the 4 6 in all black but this is what you need to go for each of the evening in the UK this is like the to look of local for over had been out for 1 of the same loan procedure the world they described in this paper in in my life and I've taken as pretty check in each year and it is my duty of the police in this year of waiting for example just how we fought and world actually for good it expected ideas to move away to the the easy to use and a word for word the results of these of the votes of the fought for what did on the subgrid and on the the and the for the use it by a reduction in the need to and the correlation you can already see his with my original and this is the for 4th baby to the highest all these is the number of these is the number of pixels with the might of the in density of the book by the physical both British and is the basis for example of this is the 2nd blow to the development long and the and the more not noted the 1 that had the result of the book is so worried at the end of the lecture with discussed with the about both the world of tool for of she based features of the presented the and go on the possibilities of change for the area based the world and the world will also discussed the bald moment invariants told of the billions of for a consolation the implications of the ball to help discussed about because we went there to be I longer than the way some of the life the next leg to next lecture will start with a with during the loan move into abuse the the basics of will fall below and though the old information in in
Distributionstheorie
Mathematische Morphologie
Bit
Shape <Informatik>
Güte der Anpassung
Selbstrepräsentation
Gebäude <Mathematik>
Interaktives Fernsehen
Nichtlinearer Operator
Analysis
Computeranimation
Gradient
Objekt <Kategorie>
Algorithmus
Mereologie
Schwellwertverfahren
Shape <Informatik>
Verschiebungsoperator
Kettencode
Retrievalsprache
Subtraktion
Decodierung
Compiler
Selbstrepräsentation
Kurvenanpassung
Geräusch
Term
Raum-Zeit
Computeranimation
Netzwerktopologie
Spezialrechner
Deskriptive Statistik
Datensatz
TUNIS <Programm>
Momentenproblem
Mustersprache
Information Retrieval
Flächeninhalt
Gravitationsgesetz
Hybridrechner
Figurierte Zahl
Phasenumwandlung
Hilfesystem
Gerade
Kette <Mathematik>
Shape <Informatik>
Pixel
Oval
Snake <Bildverarbeitung>
Quick-Sort
Invariante
Endlicher Graph
Persönliche Identifikationsnummer
Teilmenge
Objekt <Kategorie>
Flächeninhalt
Mereologie
Selbstrepräsentation
Faktor <Algebra>
Kantenfärbung
Information
Charakteristisches Polynom
Shape <Informatik>
Aggregatzustand
Subtraktion
Shape <Informatik>
Punkt
Sichtenkonzept
Matching <Graphentheorie>
Selbstrepräsentation
Güte der Anpassung
Kurvenanpassung
Kartesische Koordinaten
Computer
Mathematische Logik
Term
Ähnlichkeitsgeometrie
Computeranimation
Objekt <Kategorie>
Spezialrechner
Benutzerbeteiligung
Font
Rechter Winkel
Digitale Photographie
Diskrete Simulation
Abgeschlossene Menge
Selbstrepräsentation
Flächeninhalt
Drei
Hilfesystem
Shape <Informatik>
Kreisbewegung
Subtraktion
Formale Semantik
Invarianz
Drehung
Ähnlichkeitsgeometrie
Computeranimation
Formale Semantik
Font
Abstand
Einflussgröße
Shape <Informatik>
Pixel
Snake <Bildverarbeitung>
Paarvergleich
Paarvergleich
Frequenz
Linearisierung
Minimalgrad
Mereologie
Zentrische Streckung
Polygonnetz
Kantenfärbung
Aggregatzustand
Shape <Informatik>
Kreisbewegung
Shape <Informatik>
Web Site
Punkt
Snake <Bildverarbeitung>
Hochdruck
Paarvergleich
Schlussregel
Computer
Ähnlichkeitsgeometrie
Computeranimation
Entscheidungstheorie
Arithmetisches Mittel
System F
Domain-Name
Informationsmodellierung
Mereologie
Zentrische Streckung
Computerunterstützte Übersetzung
Einflussgröße
Shape <Informatik>
Schreib-Lese-Kopf
Lesen <Datenverarbeitung>
Subtraktion
Punkt
Abgeschlossene Menge
Unrundheit
Kartesische Koordinaten
Komplex <Algebra>
Exzentrizität
Statistische Hypothese
Raum-Zeit
Computeranimation
Lineare Abbildung
Nichtunterscheidbarkeit
Flächeninhalt
Glättung
Indexberechnung
Einflussgröße
Gerade
Shape <Informatik>
Dicke
Snake <Bildverarbeitung>
p-V-Diagramm
Paarvergleich
Übergang
Endlicher Graph
Linearisierung
Exzentrizität
Flächeninhalt
Last
Zahlenbereich
Information
Subtraktion
Decodierung
Punkt
Invarianz
Inverse
Formbeschreibung
Zahlenbereich
Unrundheit
Kartesische Koordinaten
Euler-Winkel
Ähnlichkeitsgeometrie
Computeranimation
Richtung
Formale Semantik
Demoszene <Programmierung>
Virtuelle Maschine
Deskriptive Statistik
Informationsmodellierung
Maßstab
Code
Diskrete Simulation
Randomisierung
Inverser Limes
Figurierte Zahl
Auswahlaxiom
Kette <Mathematik>
Bildauflösung
Touchscreen
Umwandlungsenthalpie
Zentrische Streckung
Dicke
Shape <Informatik>
Pixel
Snake <Bildverarbeitung>
Übergang
Strömungsrichtung
Plot <Graphische Darstellung>
Primideal
Bildschirmmaske
Verkettung <Informatik>
Exzentrizität
Flächeninhalt
Rechter Winkel
Hypermedia
Richtung
Pixel
Shape <Informatik>
Kettencode
Subtraktion
Punkt
Decodierung
Sampler <Musikinstrument>
Mathematisierung
Rechteck
Zahlenbereich
Drehung
Raum-Zeit
Computeranimation
Richtung
Maßstab
Fächer <Mathematik>
Code
Translation <Mathematik>
Kette <Mathematik>
Zentrische Streckung
Shape <Informatik>
Rechteck
Relativitätstheorie
Quick-Sort
Codierung
Richtung
Quadratzahl
Kettencode
Subtraktion
Punkt
Decodierung
Sampler <Musikinstrument>
Mathematisierung
Rechteck
Schreiben <Datenverarbeitung>
Ikosaeder
Drehung
Komplex <Algebra>
Code
Computeranimation
Richtung
Maßstab
Code
Metropolitan area network
Kette <Mathematik>
Zentrische Streckung
Shape <Informatik>
Schwingung
Minimalgrad
Mereologie
Codierung
Richtung
Kettencode
Kreisbewegung
Subtraktion
Decodierung
Gewichtete Summe
Punkt
Mathematisierung
Zahlenbereich
Computer
Code
Computeranimation
Richtung
Datensatz
Multiplikation
Perspektive
Code
Subtraktion
Quellencodierung
Kette <Mathematik>
Bildauflösung
Shape <Informatik>
Pixel
Güte der Anpassung
Quellencodierung
Bildschirmsymbol
Quick-Sort
Verkettung <Informatik>
Flächeninhalt
Konditionszahl
Mereologie
Codierung
Polygonnetz
Lipschitz-Bedingung
Kettencode
Folge <Mathematik>
Kreisbewegung
Videospiel
Subtraktion
Shape <Informatik>
Decodierung
Punkt
Pixel
Winkel
Schreiben <Datenverarbeitung>
Zahlenbereich
Computeranimation
Richtung
Multiplikation
Vertikale
Minimalgrad
Menge
Rechter Winkel
Code
Kontrollstruktur
Gerade
Kette <Mathematik>
Aggregatzustand
Kettencode
Turnier <Mathematik>
Subtraktion
Punkt
Decodierung
Selbstrepräsentation
Zahlenbereich
Unrundheit
Permutation
Symmetrische Matrix
Computeranimation
Mailing-Liste
Code
Arbeitsplatzcomputer
Quick-Sort
Metropolitan area network
Kette <Mathematik>
Permutation
Shape <Informatik>
Pixel
Gebäude <Mathematik>
Ähnlichkeitsgeometrie
Mailing-Liste
Bildschirmsymbol
Quick-Sort
Verkettung <Informatik>
Rechter Winkel
Information
Shape <Informatik>
Subtraktion
Einfügungsdämpfung
Decodierung
Extrempunkt
Mathematisierung
Zahlenbereich
Wärmeübergang
Transformation <Mathematik>
Term
Computeranimation
Schwebung
Abstand
Substitution
Coprozessor
Operations Research
Chi-Quadrat-Verteilung
Kette <Mathematik>
Folge <Mathematik>
Nichtlinearer Operator
Zwei
Einfache Genauigkeit
Ähnlichkeitsgeometrie
Einfache Genauigkeit
Kugelkappe
Zeichenkette
Abstand
Verkettung <Informatik>
Wort <Informatik>
Computerunterstützte Übersetzung
Einfügungsdämpfung
Standardabweichung
Aggregatzustand
Zeichenkette
Kettencode
Kreisbewegung
Decodierung
Total <Mathematik>
Extrempunkt
Minimierung
Rechteck
Zahlenbereich
Drehung
Transformation <Mathematik>
Analytische Menge
Information
Extrempunkt
Computeranimation
Netzwerktopologie
Total <Mathematik>
Greedy-Algorithmus
Optimierung
Hilfesystem
Kette <Mathematik>
Verschiebungsoperator
Nichtlinearer Operator
Ähnlichkeitsgeometrie
Abstand
Verkettung <Informatik>
Offene Menge
Lineare Optimierung
Mereologie
Codierung
Strategisches Spiel
Information
Kettencode
Standardabweichung
Zeichenkette
Information Retrieval
Subtraktion
Stabilitätstheorie <Logik>
Momentenproblem
Kreisfläche
Invarianz
Selbstrepräsentation
Rechteck
Zahlenbereich
Transformation <Mathematik>
Information
Raum-Zeit
Computeranimation
Spezialrechner
Symmetrie
Momentenproblem
Stichprobenumfang
Kompakter Raum
Information Retrieval
Flächeninhalt
Datenstruktur
Phasenumwandlung
Shape <Informatik>
Transformation <Mathematik>
Hough-Transformation
Übergang
Marketinginformationssystem
Quick-Sort
Invariante
Endlicher Graph
Flächeninhalt
Kompakter Raum
Zahlenbereich
Koeffizient
Selbstrepräsentation
Information
Innerer Punkt
Symmetrie
Shape <Informatik>
Information Retrieval
Subtraktion
Kreisfläche
Flächentheorie
Primitive <Informatik>
Rechteck
Zahlenbereich
Raum-Zeit
Computeranimation
Überlagerung <Mathematik>
Datensatz
Unrundheit
Unterring
Flächentheorie
Datentyp
Flächeninhalt
Primitive <Informatik>
Datenstruktur
Einfach zusammenhängender Raum
Shape <Informatik>
Kreisfläche
Pixel
Systemaufruf
Übergang
Flächeninhalt
Zahlenbereich
Selbstrepräsentation
Ordnung <Mathematik>
Pixel
Shape <Informatik>
Web Site
Kreisfläche
Selbstrepräsentation
Schaltnetz
Gewichtete Summe
Rechteck
Zahlenbereich
Unrundheit
Dicke
Komplex <Algebra>
Verzerrungstensor
Computeranimation
Überlagerung <Mathematik>
Internetworking
Ellipsoid
Ellipsoid
Videospiel
Fehlermeldung
Shape <Informatik>
Dicke
Kreisfläche
Codierungstheorie
Gebäude <Mathematik>
Symboltabelle
Biprodukt
Energiedichte
Flächeninhalt
Mereologie
Selbstrepräsentation
Decodierung
Shape <Informatik>
Lipschitz-Bedingung
Maschinenschreiben
Web Site
Subtraktion
Bit
Punkt
Randwert
Kreisfläche
Rechteck
Symmetrische Matrix
Computeranimation
Richtung
Datensatz
Skeleton <Programmierung>
Reelle Zahl
Gruppe <Mathematik>
Flächeninhalt
Gerade
Kartesische Koordinaten
Videospiel
Shape <Informatik>
Kreisfläche
Skeleton <Programmierung>
Menge
Quick-Sort
Endlicher Graph
Randwert
System F
Flächeninhalt
Zahlenbereich
Digitaltechnik
Mereologie
Shape <Informatik>
Aggregatzustand
Sichtbarkeitsverfahren
Maschinenschreiben
Subtraktion
Bit
Punkt
Randwert
Wellenlehre
Extrempunkt
Datensichtgerät
Compiler
Gruppenoperation
Zahlenbereich
Sprachsynthese
Whiteboard
Computeranimation
Graph
Skeleton <Programmierung>
Unterring
Nichtunterscheidbarkeit
Gerade
Hilfesystem
Suite <Programmpaket>
Zentrische Streckung
Shape <Informatik>
Kreisfläche
Graph
Skeleton <Programmierung>
Güte der Anpassung
Billard <Mathematik>
Endlicher Graph
Randwert
Konzentrizität
Flächeninhalt
Aggregatzustand
Sichtbarkeitsverfahren
Nichtlinearer Operator
Videospiel
TVD-Verfahren
Verzweigendes Programm
Subtraktion
Punkt
Kreisfläche
Skeleton <Programmierung>
Verzweigendes Programm
Unrundheit
Ungerichteter Graph
Computeranimation
Design by Contract
Abstand
Skeleton <Programmierung>
Fächer <Mathematik>
Design by Contract
Mereologie
Abstand
Gerade
Zeichenkette
Sichtbarkeitsverfahren
Resultante
Subtraktion
Total <Mathematik>
Punkt
Mengentheoretische Topologie
Web log
Extrempunkt
Atomarität <Informatik>
Gruppenkeim
Zellularer Automat
Transformation <Mathematik>
Gesetz <Physik>
Computeranimation
Spezialrechner
Skeleton <Programmierung>
Momentenproblem
Nichtunterscheidbarkeit
Kontrollstruktur
Addition
Operations Research
Gerade
Metropolitan area network
Distributionstheorie
Nichtlinearer Operator
Shape <Informatik>
Datentyp
Kreisfläche
Matching <Graphentheorie>
Skeleton <Programmierung>
Magnetbandlaufwerk
Verzweigendes Programm
Systemaufruf
Ein-Ausgabe
Design by Contract
System F
Funktion <Mathematik>
Last
Mereologie
Dateiformat
Information
Kantenfärbung
Pixel
Shape <Informatik>
Fehlermeldung
Diskrete Wahrscheinlichkeitsverteilung
Distributionstheorie
Distributionstheorie
Lineares Funktional
Shape <Informatik>
Datentyp
Web log
Momentenproblem
Kategorie <Mathematik>
Transformation <Mathematik>
Drehung
Computeranimation
Endlicher Graph
Spezialrechner
Funktion <Mathematik>
Menge
Reelle Zahl
Momentenproblem
Translation <Mathematik>
Gamecontroller
Luenberger-Beobachter
Addition
Pixel
Shape <Informatik>
Resultante
Stochastik
Kurtosis
Distributionstheorie
Momentenproblem
Computeranimation
Gradient
Knotenmenge
Vorzeichen <Mathematik>
Gruppe <Mathematik>
Momentenproblem
Diskrete Untergruppe
Diskrete Wahrscheinlichkeitsverteilung
Lineares Funktional
Distributionstheorie
Sichtenkonzept
Schiefe Wahrscheinlichkeitsverteilung
Güte der Anpassung
Ruhmasse
Persönliche Identifikationsnummer
Modallogik
Zufallsvariable
Rechter Winkel
Faktor <Algebra>
Reelle Zahl
Stochastik
Zentralisator
Distributionstheorie
Theorem
Punkt
Momentenproblem
Invarianz
Zahlenbereich
Unrundheit
Extrempunkt
Computeranimation
Überlagerung <Mathematik>
Unendlichkeit
Netzwerktopologie
Dichtefunktional
Spieltheorie
Momentenproblem
Translation <Mathematik>
Verschiebungsoperator
Folge <Mathematik>
Diskrete Wahrscheinlichkeitsverteilung
Lineares Funktional
Statistik
Shape <Informatik>
Schiefe Wahrscheinlichkeitsverteilung
Green-Funktion
Physikalischer Effekt
Varianz
Ruhmasse
EINKAUF <Programm>
System F
Funktion <Mathematik>
Rechter Winkel
Computerunterstützte Übersetzung
Koordinaten
Aggregatzustand
Distributionstheorie
Videospiel
Lineares Funktional
Distributionstheorie
Theorem
Subtraktion
Pixel
Momentenproblem
Einfache Genauigkeit
Ruhmasse
Raum-Zeit
Abenteuerspiel
Computeranimation
Richtung
Deskriptive Statistik
System F
Funktion <Mathematik>
Flächeninhalt
Prozess <Informatik>
Momentenproblem
Vererbungshierarchie
Aggregatzustand
Kreisbewegung
Distributionstheorie
Theorem
Einfügungsdämpfung
Subtraktion
Gewichtete Summe
Punkt
Momentenproblem
Mathematisierung
Drehung
Transformation <Mathematik>
Computer
Code
Computeranimation
Spezialrechner
Deskriptive Statistik
Digitale Photographie
Momentenproblem
Translation <Mathematik>
Diskrete Untergruppe
Cliquenweite
Diskrete Wahrscheinlichkeitsverteilung
Distributionstheorie
Lineares Funktional
Shape <Informatik>
Pixel
Sichtenkonzept
Matching <Graphentheorie>
Ruhmasse
Flächeninhalt
Koeffizient
Zentrische Streckung
Innerer Punkt
Pixel
Shape <Informatik>
Lesen <Datenverarbeitung>
Zentralisator
Subtraktion
Punkt
Momentenproblem
Relationentheorie
HIP <Kommunikationsprotokoll>
Zahlenbereich
Computer
Drehung
Transformation <Mathematik>
Raum-Zeit
Computeranimation
Lineare Abbildung
Informationsmodellierung
Variable
Momentenproblem
Translation <Mathematik>
Kontrollstruktur
Warteschlange
Quellencodierung
Softwaretest
Ruhmasse
Ereignishorizont
Invariante
Endlicher Graph
Design by Contract
Flächeninhalt
Ruhmasse
Faktor <Algebra>
Faltung <Mathematik>
Algebraisches Modell
Kreisbewegung
Distributionstheorie
Lineare Abbildung
Gewichtete Summe
Momentenproblem
Matrizenrechnung
Wärmeübergang
Drehung
Transformation <Mathematik>
Computeranimation
Lineare Abbildung
Dichtefunktional
Momentenproblem
Prototyping
Beobachtungsstudie
Diskrete Wahrscheinlichkeitsverteilung
Assoziativgesetz
Distributionstheorie
Videospiel
Lineares Funktional
Shape <Informatik>
Teilbarkeit
Linienelement
Matching <Graphentheorie>
Transformation <Mathematik>
Güte der Anpassung
Winkel
Teilbarkeit
Invariante
Linearisierung
Sinusfunktion
Algebraisches Modell
Kreisbewegung
Momentenproblem
Invarianz
Transformation <Mathematik>
Computeranimation
Netzwerktopologie
Lineare Abbildung
Gewicht <Mathematik>
Vorzeichen <Mathematik>
Endlicher Graph
Datentyp
Determiniertheit <Informatik>
Momentenproblem
Kontrollstruktur
Lineares Funktional
Shape <Informatik>
Linienelement
Matching <Graphentheorie>
Linienelement
Mathematisierung
Ranking
Linearisierung
Konfiguration <Informatik>
Invariante
Bildschirmmaske
Funktion <Mathematik>
Faktor <Algebra>
Information
Shape <Informatik>
Zentralisator
Algebraisches Modell
Momentenproblem
Fluid
Invarianz
Algebraisches Modell
Zahlenbereich
Transformation <Mathematik>
Web-Seite
Determinante
Computeranimation
Lineare Abbildung
Gewicht <Mathematik>
Spieltheorie
Momentenproblem
Lineare Geometrie
Leistung <Physik>
Shape <Informatik>
Invariante
Arithmetisches Mittel
Minimalgrad
Menge
Kategorie <Mathematik>
Skalarprodukt
Beweistheorie
Subtraktion
Momentenproblem
Invarianz
Klasse <Mathematik>
Vektorraum
Drehung
Computerunterstütztes Verfahren
Computeranimation
Deskriptive Statistik
Momentenproblem
Translation <Mathematik>
Abstand
Trennungsaxiom
Shape <Informatik>
Vektorgraphik
Assembler
Matching <Graphentheorie>
Schreib-Lese-Kopf
Winkel
sinc-Funktion
Paarvergleich
Systemaufruf
Nummerung
Paarvergleich
Rechnen
Invariante
Abstand
Reelle Zahl
Charakteristisches Polynom
Subtraktion
Polynom
Spline
Momentenproblem
Element <Mathematik>
Selbstrepräsentation
Vektorraum
Element <Mathematik>
Polygon
Rechenbuch
Computeranimation
Datenhaltung
Informationsmodellierung
Datentyp
Minimum
Momentenproblem
Statistik
Shape <Informatik>
Sichtenkonzept
Vektorgraphik
Snake <Bildverarbeitung>
Eindeutigkeit
Rechnen
Endlicher Graph
Invariante
Bildschirmmaske
Polygon
Selbstrepräsentation
Kategorie <Mathematik>
Genetischer Algorithmus
Fourier-Entwicklung
Information Retrieval
Multimedia
Distributionstheorie
Subtraktion
Momentenproblem
Invarianz
Vektorraum
Zeichenvorrat
Kartesische Koordinaten
Computeranimation
Übergang
Physikalisches System
Softwaretest
Spieltheorie
Mittelwert
Nichtunterscheidbarkeit
Momentenproblem
Information Retrieval
Grundraum
Informationssystem
Diskrete Wahrscheinlichkeitsverteilung
Lineares Funktional
Zeichenvorrat
Datenhaltung
Güte der Anpassung
Stellenring
Physikalisches System
Störungstheorie
Invariante
Resultante
Retrievalsprache
Abstimmung <Frequenz>
Bit
Einfügungsdämpfung
Punkt
Momentenproblem
Computerunterstütztes Verfahren
Ranking
Gesetz <Physik>
Ähnlichkeitsgeometrie
Computeranimation
Gradient
Netzwerktopologie
Spezialrechner
Deskriptive Statistik
Prozess <Informatik>
Korrelation
Gruppe <Mathematik>
Uniforme Struktur
Spielkonsole
Figurierte Zahl
Korrelationsfunktion
Metropolitan area network
Nichtlinearer Operator
Addition
Shape <Informatik>
Datenhaltung
Stellenring
Bildschirmsymbol
Algorithmische Programmiersprache
Teilbarkeit
Ereignishorizont
Endlicher Graph
Dichte <Physik>
Druckverlauf
Verbandstheorie
Benutzerschnittstellenverwaltungssystem
Gerade Zahl
Information
Ordnung <Mathematik>
Computerunterstützte Übersetzung
Tabelle <Informatik>
Web Site
Gewicht <Mathematik>
Invarianz
Gruppenoperation
Mathematisierung
Baum <Mathematik>
Zahlenbereich
Whiteboard
Benutzerbeteiligung
Spieltheorie
Softwareentwickler
Schreib-Lese-Kopf
Leistung <Physik>
Autorisierung
Videospiel
Pixel
Physikalisches System
Visuelles System
Ordnungsreduktion
Flächeninhalt
Hypermedia
Basisvektor
Wort <Informatik>
Simulation
Shape <Informatik>
Matching
Spezialrechner
Retrievalsprache
Prozess <Informatik>
Selbstrepräsentation
Indexberechnung
Computeranimation
Datenhaltung
Spezialrechner
Retrievalsprache
Stellenring
Standardabweichung
Endlicher Graph
Stichprobe
Bildauflösung
Indexberechnung
Richtung
Gradient
Abstraktionsebene
Pixel
Rechenbuch
Computeranimation
Korrelationsfunktion
Spezialrechner
Retrievalsprache
Zahlenbereich
Gewichtete Summe
Indexberechnung
Paarvergleich
Punkt
Übergang
Extrempunkt
p-Block
Pixel
Computeranimation
Retrievalsprache
Korrelationsfunktion
Gewichtete Summe
Rechenbuch
Computeranimation
Datenhaltung
Spezialrechner
Korrelation
Endlicher Graph
Information Retrieval
Richtung
p-Block
Quick-Sort
Pixel
Retrievalsprache
Decodierung
Lie-Gruppe
Computeranimation
Datenhaltung
Invariante
Spezialrechner
Momentenproblem
Information Retrieval
Flächeninhalt
Cloud Computing
Kette <Mathematik>
Shape <Informatik>
Information Retrieval
Vorlesung/Konferenz
Information
Computeranimation

Metadaten

Formale Metadaten

Titel Chain Codes, Area based Retrieva, Moment Invariants, Query by Visual example (05.05.2011)
Serientitel Multimedia Databases
Teil 5
Anzahl der Teile 14
Autor Balke, Wolf-Tilo
Mitwirkende Homoceanu, Silviu
Lizenz CC-Namensnennung - keine kommerzielle Nutzung 3.0 Deutschland:
Sie dürfen das Werk bzw. den Inhalt zu jedem legalen und nicht-kommerziellen Zweck nutzen, verändern und in unveränderter oder veränderter Form vervielfältigen, verbreiten und öffentlich zugänglich machen, sofern Sie den Namen des Autors/Rechteinhabers in der von ihm festgelegten Weise nennen.
DOI 10.5446/336
Herausgeber Technische Universität Braunschweig, Institut für Informationssysteme
Erscheinungsjahr 2011
Sprache Englisch
Produzent Technische Universität Braunschweig
Institut für Informationssysteme
Balke, Wolf-Tilo
Produktionsjahr 2011
Produktionsort Braunschweig

Technische Metadaten

Dauer 2:24:03

Inhaltliche Metadaten

Fachgebiet Informatik
Abstract In this course, we examine the aspects regarding building multimedia database systems and give an insight into the used techniques. The course deals with content-specific retrieval of multimedia data. Basic issue is the efficient storage and subsequent retrieval of multimedia documents. The general structure of the course is: - Basic characteristics of multimedia databases - Evaluation of retrieval effectiveness, Precision-Recall Analysis - Semantic content of image-content search - Image representation, low-level and high-level features - Texture features, random-field models - Audio formats, sampling, metadata - Thematic search within music tracks - Query formulation in music databases - Media representation for video - Frame / Shot Detection, Event Detection - Video segmentation and video summarization - Video Indexing, MPEG-7 - Extraction of low-and high-level features - Integration of features and efficient similarity comparison - Indexing over inverted file index, indexing Gemini, R *- trees

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