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

fYear

2011

fDate

4-6 July 2011

Firstpage

56

Lastpage

60

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Visual Information Processing (EUVIP), 2011 3rd European Workshop on

Conference_Location

Paris

Print_ISBN

978-1-4577-0072-9

Type

conf

DOI

10.1109/EuVIP.2011.6045535

Filename

6045535