Share Email Print

Proceedings Paper

Texture refinement framework for improved video coding
Author(s): F. Racapé; M. Babel; O. Déforges; D. Thoreau; J. Viéron; E. François
Format Member Price Non-Member Price
PDF $17.00 $21.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper 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

Paper Details

Date Published: 18 January 2010
PDF: 9 pages
Proc. SPIE 7543, Visual Information Processing and Communication, 75430O (18 January 2010); doi: 10.1117/12.838987
Show Author Affiliations
F. Racapé, Institut d'Electronique et des Télécommunications de Rennes (France)
Thomson R&D France (France)
M. Babel, Institut d'Electronique et des Télécommunications de Rennes (France)
O. Déforges, Institut d'Electronique et des Télécommunications de Rennes (France)
D. Thoreau, Thomson R&D France (France)
J. Viéron, Thomson R&D France (France)
E. François, Thomson R&D France (France)

Published in SPIE Proceedings Vol. 7543:
Visual Information Processing and Communication
Amir Said; Onur G. Guleryuz, Editor(s)

© SPIE. Terms of Use
Back to Top