DocumentCode :
2818376
Title :
Adaptive intra modes reduction by clustering for H.264/AVC
Author :
Zhu, Weijia ; Ding, Wenpeng ; Shi, Yunhui ; Sun, Yanfeng ; Yin, Baocai
Author_Institution :
Beijing Key Lab. of Multimedia & Intell. Software Technol., Beijing Univ. Of Technol., Beijing, China
fYear :
2011
fDate :
11-14 Sept. 2011
Firstpage :
1665
Lastpage :
1668
Abstract :
H.264/AVC adopts intra coding technique to reduce spatial redundancies. In order to achieve better coding performance, there are nine candidate modes for 4×4 block unit to be selected by Rate-Distortion Optimization(RDO) process in the H.264/AVC encoder-side. However, too many intra candidate modes undoubtedly increase the transmitted bits that represent them. To solve this problem, a novel method for reducing the number of intra modes is proposed in this paper. For each 4×4 block, our algorithm can cluster the nine candidate modes into several groups and selects one mode from each group as a representative of all the modes in this group, so the cost of transmission can be reduced significantly because of the reduction of number of candidate modes. Experimental results show that the proposed method achieves 3.2% bit-rate reduction on average for various video sequences. The improvement of coding performance can be up to 7% bit-rate reduction at low bit rate, averagely.
Keywords :
image sequences; optimisation; pattern clustering; performance evaluation; rate distortion theory; redundancy; video coding; H.264/AVC clustering; H.264/AVC encoder; adaptive intramode reduction; bit-rate reduction; coding performance improvement; intra coding technique; rate-distortion optimization; spatial redundancy reduction; video sequences; Bit rate; Clustering algorithms; Conferences; Encoding; Image coding; Prediction algorithms; Video coding; H.264; clustering; intra modes reduction; intra prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
ISSN :
1522-4880
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2011.6115775
Filename :
6115775
Link To Document :
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