Video Abstraction (07.07.2011)

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Video in TIB AV-Portal: Video Abstraction (07.07.2011)

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Video Abstraction (07.07.2011)
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CC Attribution - NonCommercial 3.0 Germany:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
10.5446/338 (DOI)
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Technische Universität Braunschweig
Institut für Informationssysteme
Balke, Wolf-Tilo
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Content Metadata

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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
Area Military base Stress (mechanics) Similarity (geometry) Computer simulation Sound effect Database Streaming media Bit Streaming media Line (geometry) Mereology Frame problem Wave packet Similarity (geometry) Computer animation Hypermedia Multimedia Multimedia Musical ensemble Resultant Physical system
Web page Presentation of a group Presentation of a group Multiplication Structural load Multiplication sign Computer-generated imagery Streaming media Mereology Information retrieval Mathematics Computer animation Personal digital assistant Order (biology) Musical ensemble Thumbnail Abstraction Conditional-access module Resultant
Presentation of a group Mass flow rate Graph (mathematics) Multiplication sign Programmable read-only memory Mereology Arm Area Java remote method invocation Information retrieval Data model Pointer (computer programming) Mathematics Query language Physical law Addressing mode Drum memory Presentation of a group Metropolitan area network Link (knot theory) Electronic mailing list Streaming media Menu (computing) Mereology Principle of maximum entropy System programming Right angle Quicksort Resultant Wide area network Web page 12 (number) MUD Personal identification number Freeware Computer-generated imagery Artificial neural network MIDI Maxima and minima Perturbation theory Machine vision Value-added network Emulation Sic Network topology Ring (mathematics) Model-driven engineering Summierbarkeit Conditional-access module Magneto-optical drive Electronic program guide Coma Berenices Grand Unified Theory Binary file Sign (mathematics) Inclusion map Hypermedia Computer animation Lie group Perfect group Identity management Vacuum
Metropolitan area network Personal identification number Sic Population density Computer animation Lecture/Conference View (database) Ring (mathematics) Lattice (order) Musical ensemble Mereology Arm
Web page Point (geometry) Presentation of a group Structural load Multiplication sign Computer-generated imagery Set (mathematics) Disk read-and-write head Special unitary group Information retrieval Query language Representation (politics) Physical law Presentation of a group MIDI Characteristic polynomial Moment (mathematics) State of matter Streaming media Mereology Demoscene Number Word Computer animation Right angle Musical ensemble Resultant
Frame problem State of matter Line (geometry) Computer-generated imagery MIDI Sheaf (mathematics) Division (mathematics) Maxima and minima Dreizehn Value-added network Variance Sic Lecture/Conference Googol Information Presentation of a group Metropolitan area network Electronic mailing list Streaming media Coma Berenices Euler angles Hand fan Computer animation Internet service provider Schmelze <Betrieb> Data structure Resultant Electric current Wide area network
Frame problem Software engineering Mapping Length Mountain pass Computer-generated imagery Artificial neural network Icosahedron Special unitary group Emulation Uniformer Raum Ariana TV Googol Physical law Information Summierbarkeit Metropolitan area network Presentation of a group Mobile app Information management Amsterdam Ordnance Datum Streaming media Coma Berenices Hidden Markov model Frame problem CAN bus Computer animation Multi-agent system Data structure Electric current Wide area network
Frame problem Regulärer Ausdruck <Textverarbeitung> Perfect group User interface Network operating system WebDAV Computer-generated imagery Artificial neural network Sheaf (mathematics) Maxima and minima 3 (number) Streaming media Mereology Special unitary group Demoscene Arm Variance Web 2.0 Uniform resource locator Googol Physical law Abstraction Dean number Window Newton's law of universal gravitation Area Presentation of a group Interior (topology) Ext functor Streaming media Coma Berenices Frame problem Principle of maximum entropy Inclusion map Computer animation Uniform resource name Cycle (graph theory) Local ring Electric current Wide area network
Presentation of a group Group action State of matter Multiplication sign Decision theory Direction (geometry) Execution unit Zoom lens Mereology Data transmission Sign (mathematics) Hypermedia Computer configuration Multimedia Abstraction Physical system Presentation of a group Stress (mechanics) Data storage device Streaming media Maxima and minima Mereology Demoscene Band matrix Type theory Arithmetic mean Coefficient of determination Order (biology) Website Cycle (graph theory) Quicksort Whiteboard Physical system Resultant Row (database) Spacetime Perfect group Service (economics) Mobile Web Translation (relic) Online help Streaming media 2 (number) Wave packet Sequence Frequency Band matrix Ideal (ethics) Data structure Noise (electronics) Scaling (geometry) Key (cryptography) Group action Limit (category theory) Data transmission Frame problem Computer animation Personal digital assistant Multimedia Musical ensemble Form (programming) Library (computing)
Frame problem Group action Building State of matter Multiplication sign Decision theory Control flow Streaming media Mereology Rule of inference Wave packet Number Sequence Mixture model Order (biology) Goodness of fit Dedekind cut Term (mathematics) Authorization Selectivity (electronic) Software framework Data structure Metropolitan area network Execution unit Information Physical law Sampling (statistics) Commutator Streaming media Virtualization Symbol table Demoscene Frame problem Degree (graph theory) Uniform resource locator Computer animation Order (biology) Key (cryptography) Quicksort Musical ensemble Data structure
Frame problem Order (biology) Computer animation Whiteboard Streaming media Key (cryptography) Average
Cluster sampling Group action Building Length Multiplication sign Combinational logic Insertion loss Mereology Semantics (computer science) Chaining Programmer (hardware) Insertion loss Different (Kate Ryan album) Object (grammar) Compiler Set (mathematics) Matrix (mathematics) Information Endliche Modelltheorie Pairwise comparison Position operator Social class Area Link (knot theory) Streaming media Staff (military) Term (mathematics) Flow separation Demoscene Partition (number theory) Digital photography Process (computing) Frequency Order (biology) Linearization Website Thermal conductivity Identical particles Spacetime Point (geometry) Frame problem Game controller Feature space Gene cluster Device driver Mathematical analysis Sampling (statistics) Number Causality Term (mathematics) Representation (politics) Spacetime Selectivity (electronic) Hydraulic jump Metropolitan area network Information Key (cryptography) Physical law Length Frame problem Number Word Computer animation Visualization (computer graphics) Speech synthesis Key (cryptography) Object (grammar) Pressure
Frame problem Information management Divisor Transportation theory (mathematics) Weight Scaling (geometry) Multiplication sign Execution unit Streaming media 2 (number) Sequence Revision control Term (mathematics) Different (Kate Ryan album) Hypermedia Matrix (mathematics) Spacetime Scaling (geometry) Eigenvalues and eigenvectors Temporal logic Moment (mathematics) Uniform convergence Streaming media Device driver Term (mathematics) Cartesian coordinate system Frame problem Array data structure Arithmetic mean Computer animation Personal digital assistant Order (biology) Mathematical singularity Whiteboard Game theory Cycle (graph theory) Matrix (mathematics)
Point (geometry) Degree (graph theory) Group action Touchscreen Computer animation Multiplication sign Interactive television Streaming media Streaming media Game theory Demoscene
Computer animation Lecture/Conference Meeting/Interview Moving average Streaming media Physical law Special unitary group Summierbarkeit Library (computing) Spacetime
Process (computing) Computer animation Lecture/Conference Term (mathematics) Multiplication sign Universe (mathematics) Numbering scheme Streaming media Streaming media Game theory Demoscene
Group action Computer animation Structural load Lecture/Conference MIDI Moving average Streaming media Physical law Value-added network Flux
Point (geometry) Complex (psychology) Group action Link (knot theory) State of matter Multiplication sign Numbering scheme Set (mathematics) Streaming media Mereology Graph coloring Semantics (computer science) Number 2 (number) Programmer (hardware) Frequency CAN bus Bit rate Lecture/Conference Different (Kate Ryan album) Hypermedia Energy level Data structure Data compression Pattern recognition Information Eigenvalues and eigenvectors Cellular automaton Expression Projective plane Content (media) Fitness function Sound effect Bit Demoscene Degree (graph theory) Type theory Process (computing) Computer animation Speech synthesis Game theory Identical particles Resultant Computer worm
Metropolitan area network Frame problem Execution unit Structural load Streaming media Content (media) Group action Demoscene Emulation Sequence Order (biology) Computer animation Lecture/Conference Key (cryptography) Logic gate Data structure Data type
Pattern recognition Length Kolmogorov complexity Visual system Theory Streaming media Mathematical analysis Sequence Computer animation Estimation Object (grammar) Information Data structure Speech synthesis Data compression
Group action State of matter Multiplication sign Connectivity (graph theory) Electronic program guide Maxima and minima Chaos (cosmogony) Insertion loss Mathematical analysis Streaming media Mereology Demoscene Computer programming Sound effect Explosion Prime ideal Goodness of fit Dedekind cut Different (Kate Ryan album) Hypermedia File viewer Selectivity (electronic) Contrast (vision) Focus (optics) Sound effect Streaming media Bit Ultraviolet photoelectron spectroscopy Demoscene Degree (graph theory) Radical (chemistry) Type theory Arithmetic mean Explosion Film editing Computer animation Personal digital assistant Order (biology) Musical ensemble Figurate number
Pattern recognition Order (biology) Computer animation Streaming media Representation (politics) Demoscene Abstraction Data type
Axiom of choice Group action Distribution (mathematics) Code Length Multiplication sign 1 (number) Numbering scheme Mereology Demoscene Mathematics CAN bus Bit rate Dedekind cut Different (Kate Ryan album) Hypermedia Electronic visual display Endliche Modelltheorie Pattern recognition Moment (mathematics) Data storage device Streaming media Bit Sequence Demoscene Degree (graph theory) Arithmetic mean Process (computing) Website Spacetime Mathematical analysis Streaming media Average Graph coloring Number Sequence Goodness of fit Average Term (mathematics) Noise (electronics) Distribution (mathematics) Commutator Ultraviolet photoelectron spectroscopy Group action Frame problem Similarity (geometry) Component-based software engineering Mathematics Film editing Computer animation Visualization (computer graphics) Contrast (vision) Video game
Axiom of choice Pattern recognition Group action Length State of matter Multiplication sign Set (mathematics) Mereology Disk read-and-write head Demoscene Neuroinformatik Programmer (hardware) Social class Covering space Pattern recognition Touchscreen Closed set Point (geometry) Streaming media Price index Distance Degree (graph theory) Position operator Digital photography Arithmetic mean Point (geometry) Filter <Stochastik> Frame problem Digital filter Algorithm Computer-generated imagery Mathematical analysis Streaming media Distance Number Wave packet Sound effect Goodness of fit Term (mathematics) Green's function Contrast (vision) Condition number Standard deviation Dialect Key (cryptography) Computer network Denial-of-service attack Ultraviolet photoelectron spectroscopy Rectangle System call Frame problem Uniform boundedness principle Word Computer animation Software Interpreter (computing)
Pattern recognition Metropolitan area network Frame problem Computer font Structural load Artificial neural network Maxima and minima Streaming media Mathematical analysis Value-added network Variance Distance CAN bus Computer animation Lecture/Conference Contrast (vision) Normed vector space Moving average Personal area network
Point (geometry) Frame problem Surface Multiplication sign Execution unit Mathematical analysis Streaming media Content (media) Distance Variance Area Explosion Goodness of fit Crash (computing) Row (database) Analytic continuation Area Computer font Pattern recognition Scaling (geometry) Optical character recognition Mapping Surface Physical law Streaming media Bit Symbol table Demoscene Distance Type theory Computer animation Personal digital assistant Row (database)
Point (geometry) Pattern recognition Group action Sine Length Multiplication sign Correspondence (mathematics) Control flow Streaming media Mereology Demoscene Event horizon Graph coloring Computer programming 2 (number) Sound effect Sequence Goodness of fit Different (Kate Ryan album) Average Selectivity (electronic) Endliche Modelltheorie Extension (kinesiology) Electric generator Information Augmented reality Structural load Projective plane Physical law Length Content (media) Sound effect Streaming media System call Demoscene Vector potential Frequency Event horizon Computer animation Order (biology) Phase transition Musical ensemble Abstraction
Computer animation Abstraction Demoscene Sequence Sound effect
Group action Key (cryptography) Distribution (mathematics) Multiplication sign Parameter (computer programming) Streaming media Bit Group action Average Demoscene Demoscene Sound effect Type theory Mathematics Uniform resource locator Type theory Computer animation Vector graphics
Point (geometry) Frame problem Group action Context awareness Multiplication sign Content (media) Mereology Demoscene Rule of inference Sound effect Explosion Order (biology) Dedekind cut Operator (mathematics) Authorization Boundary value problem Integrated development environment Data type Operations research NP-hard Electric generator Graph (mathematics) Weight Physical law Line (geometry) Perturbation theory Group action Flow separation Demoscene Frame problem Type theory Shooting method Film editing Event horizon Computer animation Integrated development environment Search engine (computing) Order (biology) Social class Musical ensemble Boundary value problem
Information management Group action MUD Continuous track Multiplication sign Stress (mechanics) 1 (number) Sound effect Mereology Demoscene Sound effect Explosion Frequency Mathematics Process (computing) Computer animation Uniform resource name Lie group Single-precision floating-point format Order (biology) Speech synthesis Iteration Volume Row (database)
Raw image format Mass flow rate Computer animation Lecture/Conference Line (geometry) Normed vector space Maxima and minima
Scaling (geometry) Sine Lecture/Conference
Metropolitan area network Software engineering Group action Structural load Twin prime Multiplication sign Real number Maxima and minima Menu (computing) System call Storage area network Computer animation Lecture/Conference Uniform resource name Moving average Family Metropolitan area network
Point (geometry) Structural load Multiplication sign 3 (number) Streaming media Mereology Arm Neuroinformatik Wave packet Force Lecture/Conference Meeting/Interview Hypermedia Physical law Multimedia Summierbarkeit Abstraction Metropolitan area network Pairwise comparison Execution unit Key (cryptography) Cellular automaton Content (media) Streaming media Bit Demoscene Subject indexing Computer animation Order (biology) Theorem Speech synthesis Hill differential equation Computer music 9 (number) Resultant Wide area network
Computer animation Network topology Subject indexing Multimedia Physical law Airy function
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the idea that you do another way of doing that is so called Cluster based selection so what you do is you 1st class don't the frames into different area this is the action frames this is the wrong man strains all well and that can see what the part of the movies other may need to frames of their many Roman framed in like that I'd get in the pressure to what percentage this is an action movie is 92 cents of the shops have very high motion but not very bright and this fall is action movies of choosing a couple more action shot is a good idea to be some all representative at least it would not be good ideas transport the movie is about if Foley to Roman struck and and tried to sell you choose from a number of key frames the best possible representatives meaning that you take from each sent and respected in length with the 4 of us are you basically have again to the side for of features based in determined last Hughes you off competition and class during or completely Clustering because of what you might of was the you might end up with with the chain of custody of England and makes the very hot decide when he actually doing by to the frame from each clusters of called into the size of the last for the summer of was also very sensible in summary is the audience for because if you have a storey for bought you can seem the still Imich but if not idea used the word is that it is polluted what's happening because you don't have any movement and that makes it much easier like we didn't use example to say well this is a debate about the war in Rock because actually and seeing the photo of the jump on demand the debate could be on everything looks the same all the time like a new visual UConn distinguish between avoiding debate and and bond issues all warranty rock issues of environmentally issues of the meat under relationship with China issues of 1 of it may be all which looks as if somebody speaking are like you don't see it actually and some people are listening not many because download a order of the day doing now when they are not going this country I'm and then new see all this autumn and but what seems should be so some some some interesting information can be easy easy extracted from the audio information so you take the cars on the job to take the sentences transcript of sentences of growth financial and you try to get the most appalled sentence although the representatives sent from the Texan that several techniques to do that 1 of the major techniques is late semantic analysis of the demand for I'm which is in and from what people are presented in the lecture body information for use of the website and the basic ideas of late semantic and that this is that each of the sentences that spoken is considered as a document and now or you put it into some documents Basso for example that space model each Turkey is built access and would just would just the move to end the document and sent into the space was suspect to a halt some terms of personnel and the moral and the term 1st are further on on this term access and all the document of basic point base and you can distinguish what they are about and about 40 of and do it is a kind of what you some some some segmentation of later semantic and the and the late semantic is basically the public of the the of the find there is a cluster of sentences class around last around the same worked out that a used to you in the city to a single real position on the terms based Maddox time and document Matrics and that will lead to eyeing values and Linear combination of terms with the highest eyeing value that is basically the talk of the of the whole documents and they tools this document that is close to stop describes public best so what you do is take the sentences for here and then for each sentence you have all the terms and remove stop words and just say don't want that and the fact he had been whatever just cut out just let consider the amount the solely positions of the build Madison public being and looking at different sentences you will find that the south east of the Camorra laws of the for example sent 1 has the position and the loss of Madison but does not talk about cost from speeding up and the 6 and does not talk about any medical staff but talks about speeding up at of cause it might also talk are paid out of the Kop driver was speeding and had an accident and that he went to the hospital or the don't have to be that brought he but usually you can distinguish between certain certain groups of words that are more simple but we took a very very simple Matrics here
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image and the and see what what was going on there and then you notice some some some problems old if he's sleeping obviously and this is something that you need long to understand that he didn't get in the game and also it is a kind of Publicis Centex of what we see effect the and in intelligibility of the video cell for example that his ball scenes of the for for what it would about the type of the Seas is more what action walked what Romans for what ever so and and in the same Texas's kind of and interesting part of the scene because of what it was created by the 1 making the movie of making the video and anyway of scene in you to the and that the bell-hop's to understand what was a basic point about them on because they were not direct that would stop and and you don't get you only get that was a lot of hindsight all of of the background information about what was happening and that is not was happening and TV programme and a movie because of direct to take care of you that you actually get to see it at least at some point the from some direct that really on poetry quite quite a bit until you I understand what actually going on prise twist the 1st automatic media summaries time go back to 2 comedy Mallon University in the US and this was the on the in from media project that were trying and they were kind of doing exactly what he has said were and the analysing the audio information to find which offers more implausible less and then or make it a real so go there were kind of link late semantic and this and then featuring the main Vectra's the biggest eigenvectors Britain's biggest like values and and then try to find out which of shops below that should some from the show and they have some automatic speech recognition or in a few result detectives so that kind of the underlying techniques that is not Grenoble but needs to be done and that is still a kind of very very are prone and and you can you can look at it like a and interesting to see that you really need a bunch of techniques that he would think of like face detection 1 of 2 to find out how to make a good fit with the for part or or for for week with and this is a bunch of techniques that need to be brought together to to fulfil if we want a summary seconds of 1 to be this Somerset automatically time we have to which we have to go through several steps so I'm 1st we have to estimate the visual complexity of the final chalked up and the minimum time that you that is necessary for for you to understand the shock of the new relates to the middle complexity and there are some from psychological that romance under the try to figure out how to other state numbers of colours also and Sutton settings where users can and and more easy or 2 to smaller degree understand what were was so what makes the seat come is the number of different impression on the on the side is somehow that account distinguish between things really and then we have to focus on some which of the black and white part of the sea Brian which is not you know this kind of what can be done by a psychological and experiments on to the scenic structure of the movie again we can we can we can borrow from films period because of the way movie is built late movies direct it helps understand what is called in the movie and was not so I'm talking about the compression rates are usually about 80 per cent off possible so you use Guimet don't quite quite nicely if you want to compressed even more if the about things and that means basically the of just select a couple of scenes and if you want have an oppression of the of the full movie you get compression rate of about 80 per cent
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But actually that as quite easy you have the most directors in each frame fell if of movement and the scene is probably enacted see the mood but the mood is Kenneth tricky because the of the stock Moody of gloomy Moody happy mood and and they use transport by bicoloured if you long colours like like reds and oranges that it's kind of Susan and night if you brilliant colours that are the very different from each other so very strong yellows respond Green's very strong Greek the Blues raised from the Reds than its usually funny that kind of life he began thought covers not blue-black Gray's it gets gloomy so the but that the choice of colours in the movie or and in some carries a lot of the mood of the lives at the transport of the movie and if you have the cycle at at a wants all kind of this time the remake of the site and of course the original psychos and is in black and white because it was so filmed in the early stage of the colour movies were they were already in the air but and Hitchcock decided not to do it and colour and the the reason because he McCullum movie not impressed the mood will from the ghosts some some Moto in California you know like with pride and Nice into for your like a mean this not do at all this is not this upside Cosas not because this is not depressing me will actually a kind of fund and when they start with a Chelsea new and in the can happen in White and use your pumpkin and Laura I'm just kind of that it and so the mood is really really interesting and the The car distribution of the movie's taking over the whole movies and then looking at the use of the colour distribution varies from the average for the commuter interest because the scenes means the actively the direct decided to describe from the moment colours and that usually means that a what should also be there is is a bit of dialogue and movies where people don't talk usually don't storey and talking people can be easy found in the sea either you have 2 or more people facing each other for for some time or you cut between faces go close up 1 face cups those of the other face of pending a number of different techniques of of Hall to transport dialogue but you get very hot and but of dialogue that had been trained so it's a funny dialogue for the sake of the dialogue carry carrying the intimate and the part of this is 1 of forget that automatically from the perfect goods from the basic part of the video and it was the 1st 1st Polozola shock tactics and then I get the individuals shops and now we have to group it into seeds and the only way to do it because you don't know the storey you don't have any any moccasin the moving for all storey or 1 storey up to strip 3 know like this is to to do with the new eristics and he received a means you basically Clustering seemed so or you grew but if if they have a common background for of sequential job was to mycologist to bution you know with the camera movement the background code of new change to much anyway and
Another thing is that that he would of also look at the where the scholar schemes drastically changes from show She also mean something for for somebody explosion as a cop Chase and 1 of college blowing up totally different coloured and the of the of the street colours of Manhattan on a no that and and and suddenly all its red and yellow and the fiers they like see that in the sea And what I would do and the interesting part is now that if you take the shut out of the video and take them at full length all at least for among the duration you can also take the audio and if you then have a look at how the movie was made you will find the storey UK's can be discovered by looking at the audio cut like visual differences in and and the storey of can be discovered by video if you look at the audio somebody's talking for for some time although different shot at the of summit describes something all the ship and the radio something that all of you and some degree commentary on something and and it can go on for several shot of the the day be very similar to if they know that the shops can be group into the same storey They belonged to get some of whom if you have a video cut without a distinct change of the audio this usually not a change of scene but if the audio changes and the video changes and you enter a new stores before John goes some of all the typical of movies were found you have people doing something you know like and they go on member talking about bond and many might have cut to some cities seen any of the background noise of the city calls on came and maybe of the walls of the room before we know what of local of playing going all the city but you have told me but different that brought in terms of audio and somebody is going from the lower enough to know that this is the storey of lining the video cuts and and ordered to view good ideas for discovering the child and the the same goes for dialogue dialogues Golmud was only work with in the sea and a can of all cut their so sofa jumbo consider dialogue over the telephone he would usually have kept between the telephone part there she is talking on the phone and talk to them that the guys who was talking on his side of the of the other side of the ocean where you know the scenes couldn't be more different but it is in the same dialogue and detecting dialogues an audio it is very easy because of the same simplest that were for for some time so I'm also dialogue should not be taken appalled that just see them as as 1 storey of season the ones found then you have the fact that can happen within the scene and that it is Cunniffe interesting how that work so there is a lot of work on on the faces so I'm face recognition in movies or and the images also is is quite successfully space and actually essential for behind it because you want to know which which act display you want to know in political things with its Birkebeiner doing something over the and the amount of doing something with the ball wide and no Nicholas was doing something that will definitely make a difference for you so detecting the faces of actors and even better recognising the face of actress is is a very good idea and the safety of your detection rates of over 9 2 per cent to commit pretty sure who somebody's from media and and I'm not quite sure whether you have a plate was was the car of the by the from the and so this is this kind of interesting they have should faced detection model and Lucy that in a moment
All we did so we will not see a way so they have faced recognition part in and in the south where and if he or the videos and are like it doesn't really matter whether your Web last over the child was taken lightly fuel if you if you do it by by something to some degree their very good of recognising you on the phone to and if the via part because they have some some simple photos and found that the number of choices limited have to decide whether this is you will not find which he and deciding of for a group of people whose who but but still but impressive of Hall they do even if you change your at high but the basic idea of most of for face for condition is that the of that you have your networks began to some state found with of which was a kind of standardized pictures and the standard as pictures take the and points or face finding the stadium points in other faces is 1 of the key to face for mission because for what would what happens is that the for each face you have died in the eyes of the nose and mouth and the rest of it is not which to impressive because you can change your head do you can where had and the word of that for example the distance between the eyes of the 1st full length of the knows this very characteristic of the face for proceeding it as human and also for the in and and and terms of all of computer and so what you do is you take training examples a new mocked the behind Umaga nose among them up and then that in the road network trains to recognise this place on the image
And of calls to the end to a couple of other tricks for example cover filters if you want to find the Obama looking for something that is done the the and the amount These whom you can group usually similar faces before a tumble the distance between the eyes poised to every good indicator of somebody's because that can be changed in the UK and you can where blouses yes but still and taking the Santa of the closest you can still investigated for the distance of the ice will be and this is very of this for a distinct for 4 different humans are can be be found When choosing the and the seed based on faces we find that in the most movies also news programmes something if you goes out of date this usually associated with dialogue of somebody has to say something that is in Paul because I wanted to close up you want to say to see the men makes you want to see whether he O'Shea means that you want to see the fire in the eyes of the West has no point of close and somebody says something was higher in his eye and it must be in a pub and a summary of their worried about something or and the pieces of the of the sky stuff like that this is what I do for closer and this of costly to estimating was more or what is left in the fund so for example you can remove all the shoppe where the face occupies less than 7 per cent of the image is not close up this not pretty reading for for if you want to point out that although for the employer people full of all the main and actors and the same is those that appeal of video a few detect some faces that only 1 of twice United and shot of the 1st 5 minutes but For all be don't method for much of the early coming up Priam's even if fact of something that they don't contribute to the storey of the time issue alternating chocolate faces and you definitely faced by the death of his face something that could be worth exploited also good idea face recognition that 1 of the work the the work the showing the the face recognition near actually mission here so expressed an interesting that you can cheque on how we can track faces and use is a demonstration by a self where so that the green tea time rectangle basically the recognised face and I see that the people are moving around him like and there are some some Miss interpretations of now for example of this guy is no longer recognised that you can move your and you can do what everyone to and more often than not it's kind of recognised and and and the move of the said the couple of Miss recognised classes on the walls of the air having these immediately recognise different lighting and so on so recognising faces and even checking face that can be done but quite efficiently a not from money the and and the new look good terms back to the moon and then what definitely need for your highlight is whether the text movie because text in in a video is all with a very good idea transport to transport some some of the means that was there are so long whether it is the title that I need to extract or whether it is what it was set about some new side of the of the moving image and other the still image was in command in the background saying floodings in California of something extracting that text and pudding the frame into the highlight the very good idea because when you see what would happen of a special each segment text regions at the beginning of the video for on its usually very easy because they are high contrast I'm a set of I'm a use a low columbarium the Texas move somehow also just of facing along with some of the oldest screen but it stays there over several of the frames to to be recognised by the time starting a trade at some point all or footing the bill for the title of the movie in a trailer
It was a very good idea to make keep the thing for what you do and you can use to to discover what was the most of what text also full taste of the new on you can use and the roles of the vertical or along with size and distance and you will find the title usually has the biggest point size and maybe some all between you now like Alfred Hitchcock Psycho Unite of than the average car would be smaller will be the vertical distance of will be less of a few 100 starting segment of style also hold text going through the for the picture enough you will find that his father regular is not the type to in the scale of the SAS and not what I want to give and select the continuity Custos largest surface area Pirrello and as a bit map and their use O'Shea on to converted to the text of what we have here and is that law symbols early but the rows of pretty pretty more what we have here
It's 1 of the biggest Cluster and will find this has largest point size was all be titles and then we can also see are which in this case is a summary easy because the contrast behind and with its stationary or whether it's moving somehow doesn't really matter how we can recognise some new times that there is a case where act as very of where the direct as a very clever and and and the move around the and the and the the individual letters of the title and they built some patents some that some sometimes very hot discover what he was doing this is this kind of good way of finding out that the last thing the and the video was the recognition of special-effects explosions gun finer and and stuff like that because if you integrate such scenes into the trainer in the interest of the uses to somebody explode we all looking for some cost crash we all looking at 10 of the Human to do that and it might might interest again it depends on the whole type of movie but I put in many of the scenes just a few of the scenes not of the city
If the total romantic movie rather month Pilcher Movio load of don't put in which she tried it does were just and the detection then also heavily depends on the audio track because you usually if you have a gunshot as I recognisable in the order of the pitches very high if your very high allow this time and you can you can even China model on acoustic events like would lose the it mock of most to detect gunshot of this is easy to think of it that and if you have this audio and event and if you have the colour that is shown and and and the image like the yellows and oranges here for the full year children and the new detect which respective audio and became a teacher sure that this is the sort of good for the generation of the actual abstract opera the we could make sure break showed up like for the like
And where interesting and so I'm last every today assault generated the XUR abstract picture highlight under of calls went when you generate the and that the highlight of 1 1 of the point that the 2 sides was how long will it be like coming for how long you take uses all following interest uses and in and Washington video before they get to grips and usually this is likely to remain at so something like like commercial that shows in the basic strengthened the basic the mood of the and if you don't have a go length if you don't say Well 1 3 minutes or something like that you can also set up a fund will include every seeing the youngest wrestled sold the most so every every scene that has action content over 95 per cent of something like that you will end up with with an open ended said abstract but all be setting a goal and that was kind of a good idea and then you have to choose the tech sector quences published dialogue time special-effects and what every half as potential see of large possibilities seems that you can choose from any exclude all the philistines everything that nobody wants to see any way in a like some some landscape scenes of something that has been between scenes because of the of the movie and for each seen the you choose to be suitable shot from and and that is because he is a hugely to among so for example that some people are quarrelling on the order meant developed some of but to find out there early the heated discussion all the heated phase of the augmentation it is usually perfectly enough so instead of showing the five minute dialogue just show the city 2nd heated and see things are flowing around people people stroke Briccetti each other for what evidence of this kind of the interest of full tax seconds as usual ways make sure to take the shot with the title texts that he expected time and that would also be a good idea for a movie than you to some of the action rich shops which can get from the from the motion Vectra's on sins This Is this kind of the island but the best of them for the back idea in all like by an explosion at this very big that they can see something at an end and at the transport some some something information and in a very bands and a very very concentrated way still most of the action Schalk's I'm really set the scene and then re transport and then you have to choose the shoppe where the colours to bution corresponds to the average of the videos so on if he focused too much new trailer 1 on on scenes that he 18 from the general seemed you will probably get a different moves with trailer has highlighted new have and the video to of probably not be a good idea I'm and you my programs without here for example that which project a movie that is that as grey and black you like and that just work some on on the idea of people being the fate of dollar and you don't know what happened and most of the time and so it very hot stood to see that prop seems be so close to bution to set the mood as the 1 thing that he would need and you can also apply automatic short tection likely at last week when we were talking about a week before were talking about how much action are much romance how much of the activity there is in the movie and which allows us to protect the trauma of this was a very high ability and and depending on the wrong or a use of decide published of the year including the UK and an action movie you should include many active shot not boring but if you have a comedy on you should choose many of the bright colours of shops because they reflect comedy you if you have a romantic re use some of the dialogue some of those up of faces because he was a love of tragedy on the things in law which can be seen faces so this kind of what you do with it was the wrong time and if you choose the dialogue and the special effects the selection of the shops should be as I possible done all the whole idea because the dialogues developed with the storey that if you take several dialogue from 1 part could only 1 part of storey if you take to die looks at full of the storey you have found a good chance that dialogue developed the storey to 1 to some time to some extent and this is basically what brings you to time finding out what it is that it is interested in finding out what drives the stories
This is the key for movies if you during the movies and the and the highlight avoid the don't show the fine and showed that what you want and then you feel the highlights the rest of the time that I have signed for the highlight of which are the only 2 other types of seems so I'm a little bit of Romans does not hurt in the action movie The but of action but it does not hurt and Romans movie but of landscape never heard to set the basic location of the movie is more like an California movie of Africa movie is an Asian movie something like that will set the scene quite nicely and so on and the sit up seems should be should be distributed all the highlight like they are distributed of all the movies the movie changes location very of that could also be reflected nicely the hype
In the next step after the generation offers selecting scene the actual editing of because unlike the giving Williams you just walk the time and that while band blitz slips making from 100 times pasta You really have to put things together in a certain order and the author of to care for the for the audio Marine pulled into so I'm the operation that you have to consider is kind of like finding the right although frames and assigning that talks between the shoppe because like in the movies you have to do the costs in the height Line and what kind of car you choose between different different seeds and the and the order of the came when 1 hand influences told the storey is transport used graph was actually happened but also the type of car influences what would be the 1st for example the fading between actually see is not a very sensible thing to do the shopping on Cup such should become like highlights that shown very quickly on lot of explosions all of of the social so something and that had set the pace for the movie shows you all this is from the hectic of rather cost movie in any way and that if you if you if you do not stick to the order of the day you should and East put those pops together all in the right order that contained a different aspects so if it is you do not a good idea to have a movie that ends in a big bowl scenario like Gone with the Wind stops 3 slowly and the law scenes at the end of a long and it it would be a very bad idea to distribute the action scenes taking from the for setting and Distributed although over the trailer because that would give the impression that its and although playing with in the civil war in which it is not and sold kind of all pudding grouping the scenes together in a sensible way following the storey somehow is over the yes as public cups said the basic the hot of self cost and they can be used and abused between the shops to to to blended and and special-effects action Ripstein's voice be separated from the environment for a half textile up scenes of separate rules and that the use use if you if you only use hot cut your highlight or you trader would look like an empty need to separate the amount of weight and the Lady Gaga where it is said that this kind of every annoyingly of shooting shooting should movies this very very weak and TV generation style of movie and so make sure that you also have some some smooth transition for that and sold there are some simple principles for full steam transitions highlights issue of the new band the that are basically actions all things happening allways hot doesn't matter what you want you have to divide from used just half time if you have a dialogue slips within dialogue so between dialogue you you should have conceded soulful paid soul wiping it so that another payoff dialogue also found and this kind of thing between faces because also closed unchanged for much of this this wiping advocating a kind of a good idea because it keeps the tension keeps the this move of transition with respect to colours and for the other clips of its kind of can be hot to sold what they can be came be the thing as a matter of taste on 1 hand and the Metro of you don't like the look of creativity just movement of it into interesting as the and the audio editing because the trailer you can do with some audio cheques you have us scenes that on the correct and that are shown at the correct speed salsa Litex spoken and the and the and the storey has not making all the time but the but what the 2 if you show part of the discussion it might not make any sense to let the people at least speed if they stayed look into my eyes off the Levy the baby less good enough like this is very very I'm a kind of the show I it makes a point lead brings the point across to some so that this would be a good idea and integrating the the audio fragment of every strain on the other hand it is a bad idea because sometimes even though shot was nice to see it's not for what is said and people think about what people say and try to related to the storey very Austin this success for which he people frustrated and frustrated person does not what you movie and so this is bad for you as Anatoly was at direct time and the same goes for search engines if it to to listen to something that is totally out of context
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What effect a philistines can nought altogether don't at anything and the between the audio tracks to you should definitely use fading position out of the of the that idea for for you can move the and and from it also very often house to use a background or you cheque if you have the soundtrack to remove the main title soundtrack of 1 or more of these of some of it is a very good idea to play in the back row row because it helps to identify with the movie's so for example if you take all Walsall something like this to be the stalls and if you integrate that into a highlight the integrated into a trader every No 8 stuff style of Canada saying singles for some of the commentaries pink fantasies of for example the period from so if you have less time to use it if you do then you have to bend was dialogues all special affect something you have to reduced the musical so it can be faded can be planted in that make sure that the victim for for part of the order of the speech the job of what it is but that's example here for example is the Toronto based on who knows the Groundhog Day movie nobody this interested in the German as take it was more Muchea then you know that interested and this kind of fund movie bomb with the that of the No within the and a guest at the beginning of
Something and and the idea of the movie is that somebody is caught in a time so he's doing stuff in in a small city and every time you wake up in the morning next morning its the morning before so the day's repeating over and over again and he's trying to to to break out of this this time you and kind a funny what he does because of this the offer to a free iterations these exactly going to know what's happening in out like and who will be where and what would happen where which will appeal which side of the trying on to feed and self and so he intact for was people and changes to the structure and if you do a stop detection over and over that the groundwork B-movie you end up with all these little where the cell different and and then working analyzing through the streets and shops you will find some of text appearances you for example which should be enough to make the tea or see that some of the stress of Dhaka here and light to 1 sell of light a once in the same colour always the 1 that were selected automatically for the of traders who was in a minute and the dock a ones also takes appearances by half of not been selected for the movie and we of the dialogue here and these were not selected for the worst affected now we have the some of some explosions so special-effects over here and as we can see the movies this not very much action movie so hot the any special-effects a thing that this is 1 explosion where he deliberately crashes a to a two kind of the kind of guy and see if he's still them next morning time and and that it is and then some something that of a year that has been chosen to to just set the scene and if we look at the ground that day
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