Colour Fractal Analysis for Video Quality Assessment

Video in TIB AV-Portal: Colour Fractal Analysis for Video Quality Assessment

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Formal Metadata

Title
Colour Fractal Analysis for Video Quality Assessment
Title of Series
Part Number
20
Number of Parts
43
Author
Ivanovici, Mihai
Richard, Nöel
Fernandez-Maloigne, Christine
License
CC Attribution - NoDerivatives 2.0 UK: England & Wales:
You are free to use, copy, distribute and transmit the work or content in unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
Identifiers
Publisher
River Valley TV
Release Date
2011
Language
English
Production Place
Joensuu, Finland

Content Metadata

Subject Area
Abstract
Fractal dimension and lacunarity are two fractal measures widely used for image analysis, segmentation and indexation. In this paper, we show how these two fractal features are able to capture several aspects that characterize the degradation of the video signal, based on the fact that the quality perceived is directly proportional to the fractal complexity of an image. Thus, we demonstrate that the fractal dimension and lacunarity can be used to objectively assess the quality of the video signal and how they can be used as metrics for the user-perceived video quality degradation for an MPEG-4 streaming application. Unfortunately, all the existing approaches are defined only for binary and greyscale images. Based on the probabilistic algorithm for the estimation of the fractal dimension and computation of lacunarity, we propose a colour approach that makes possible the analysis of the complexity in the RGB colour space of any colour image. We discuss our experimental results and then draw the conclusions.
Keywords
The 5th European Conference on Colour in Graphics, Imaging
Vision and the 12th International Symposium on Multispectral Colour Science
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Timings

  394 ms - page object

Version

AV-Portal 3.12.0 (3a2599d676b25753609baac9def5622401886a53)
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