DocumentCode :
2202071
Title :
An Improved Encoding Algorithm for H.264/AVC Based on the Character of Macro-block
Author :
Liu, Pengyu ; Jia, Kebin
Author_Institution :
Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
fYear :
2010
fDate :
1-3 Nov. 2010
Firstpage :
494
Lastpage :
497
Abstract :
H.264/AVC is a powerful and high performance video compression standard. To achieve high coding efficiency, it employs many new techniques, such as spatial prediction in intra coding, adaptive block size inter coding and motion compensation, multiple reference pictures, and so on. Especially the complex intra and inter encoding modes, obtain notable coding gains. The high computation burden of mode decision procedure is a challenge to extensive application of H.264/AVC. In this paper, a novel and adaptive decision algorithm for intra and inter modes is presented based on the characteristics of current macro-block and the statistical analysis. By avoiding a large amount of prediction processing, the computation complexity can be greatly reduced for further timesaving. Experimental results indicated that the proposed algorithm compared by exhaustive search algorithm, can achieve reduction of 67.61% encoding time on average, with a negligible PSNR loss of only 0.03dB and a mere 0.86% bit rate increase.
Keywords :
adaptive codes; computational complexity; data compression; motion compensation; video coding; H.264/AVC; H.264/MPEG-4 part 10 advances video coding; adaptive block size inter coding; adaptive decision algorithm; computation complexity; improved encoding algorithm; inter encoding modes; intra encoding modes; macro-block character; motion compensation; multiple reference pictures; video compression standard; H.264/AVC; inter frame; intra frame; macro-block; mode decision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems (ICINIS), 2010 3rd International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-1-4244-8548-2
Electronic_ISBN :
978-0-7695-4249-2
Type :
conf
DOI :
10.1109/ICINIS.2010.163
Filename :
5693749
Link To Document :
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