Paper
18 January 2010 Texture refinement framework for improved video coding
F. Racapé, M. Babel, O. Déforges, D. Thoreau, J. Viéron, E. François
Author Affiliations +
Proceedings Volume 7543, Visual Information Processing and Communication; 75430O (2010) https://doi.org/10.1117/12.838987
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
H.264/AVC standard offers an efficient way of reducing the noticeable artefacts of former video coding schemes, but it can be perfectible for the coding of detailed texture areas. This paper presents a conceptual coding framework, utilizing visual perception redundancy, which aims at improving both bit-rate and quality on textured areas. The approach is generic and can be integrated into usual coding scheme. The proposed scheme is divided into three steps: a first algorithm analyses texture regions, with an eye to build a dictionary of the most representative texture sub-regions (RTS). The encoder preserves then them at a higher quality than the rest of the picture, in order to enable a refinement algorithm to finally spread the preserved information over textured areas. In this paper, we present a first solution to validate the framework, detailing then the encoder side in order to define a simple method for dictionary building. The proposed H.264/AVC compliant scheme creates a dictionary of macroblocks
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. Racapé, M. Babel, O. Déforges, D. Thoreau, J. Viéron, and E. François "Texture refinement framework for improved video coding", Proc. SPIE 7543, Visual Information Processing and Communication, 75430O (18 January 2010); https://doi.org/10.1117/12.838987
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KEYWORDS
Associative arrays

Computer programming

Video processing

Video

Video coding

Distortion

Chemical species

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