Title :
An adaptive framework for H.264 optimized encoding
Author :
De Oliveira, R. Galvao ; Trocan, M. ; Pesquet-Popescu, B. ; Tizon, N.
Author_Institution :
Telecom Paristech, Paris, France
Abstract :
Lossy compression using subband decomposition and quantization has been proven its efficiency, being part of both image and video coding standards. In this paper, we propose an adaptive encoding framework for H.264/AVC, in which the inverse transformation matrix is optimized as function of both content and quantization noise. The inverse transform matrix is adapted in an iterative manner for each frame, and an efficient coding scheme of the resulting synthesis transform is provided. The proposed transform optimization method shows promising results compared to H.264/AVC.
Keywords :
data compression; inverse transforms; matrix algebra; optimisation; video coding; H.264 optimized encoding; H.264/AVC; adaptive encoding framework; content noise; image coding standards; inverse transformation matrix; lossy compression; quantization noise; subband decomposition; subband quantization; transform optimization method; video coding standards; Encoding; Image reconstruction; Minimization; Optimization; Quantization; Rate-distortion; Transforms; DCT; H.264; Inverse transform; MSE; adaptive encoding; filter bank; quantization noise;
Conference_Titel :
Visual Information Processing (EUVIP), 2011 3rd European Workshop on
Conference_Location :
Paris
Print_ISBN :
978-1-4577-0072-9
DOI :
10.1109/EuVIP.2011.6045535
