Paper
19 January 2009 Rank reduction for low-bit-rate coding of dynamic texture video
Author Affiliations +
Proceedings Volume 7257, Visual Communications and Image Processing 2009; 725707 (2009) https://doi.org/10.1117/12.806102
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
Detailed image structures and visual textures (of stochastic nature) in digital video are difficult to compress efficiently. At medium to low bit rates, texture flattening and blocking artifacts appear, even when using advanced video coding standards such as H.264/MPEG-4 AVC. In this paper, we propose video compression systems to compress stochastic textures by exploiting rank-reduction techniques. In this work, rank reduction is implemented by applying a singular value decomposition and selective transmission of the primary signal components as in principal component analysis. In the low bit-rate range, our implementation shows encouraging results compared to H.264/MPEG-4 AVC, not only in rate-distortion performance, but also in the improved visual quality of the reconstructed videos.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mauritz Panggabean, Stijn de Waele, Karel Hinnen, and Peter H. N. de With "Rank reduction for low-bit-rate coding of dynamic texture video", Proc. SPIE 7257, Visual Communications and Image Processing 2009, 725707 (19 January 2009); https://doi.org/10.1117/12.806102
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KEYWORDS
Principal component analysis

Video

Video compression

Computer programming

Image compression

Video coding

Matrices

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