Rank reduction for low bit-rate coding of dynamic texture video

M.H. Panggabean, S. Waele, de, K. Hinnen, P.H.N. With, de

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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.
Original languageEnglish
Title of host publicationProceedings Visual Communications and Image Processing (VCIP 2009), 18-22 January, 2009, San Jose, California
Place of PublicationBellingham
PublisherSPIE
Pages7257 07-1-7257 07-12
ISBN (Print)978-0-8194-7507-7
DOIs
Publication statusPublished - 2010
EventVisual Communications and Image Processing 2009 (VCIP 2009), January 20–22, 2009, San Jose, CA, USA - San Jose, CA, United States
Duration: 20 Jan 200922 Jan 2009

Publication series

NameProceedings of SPIE
Volume7257
ISSN (Print)0277-786X

Conference

ConferenceVisual Communications and Image Processing 2009 (VCIP 2009), January 20–22, 2009, San Jose, CA, USA
Abbreviated titleVCIP 2009
CountryUnited States
CitySan Jose, CA
Period20/01/0922/01/09

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