DocumentCode
2048985
Title
Fast Mode Decision for Intra Prediction in H.264/AVC Encoder
Author
La, Byeongdu ; Eom, Minyoung ; Choe, Yoonsik
Author_Institution
Yonsei Univ., Seoul
Volume
5
fYear
2007
fDate
Sept. 16 2007-Oct. 19 2007
Abstract
The H.264/AVC video coding standard uses the rate distortion optimization (RDO) method to improve the compression performance in the intra prediction. Whereas the computational complexity is increased comparing with previous standards due to this method, even though this standard selects the best coding mode for the current macroblock. In this paper, a fast intra mode decision algorithm for H.264/AVC encoder based on dominant edge direction (DED) is proposed. The algorithm uses the approximation of discrete cosine transform (DCT) coefficient formula. By detecting the DED before intra prediction, 3 modes instead of 9 modes are chosen for RDO calculation to decide the best mode in the 4 times 4 luma block. For the 16 times 16 luma and the 8 times 8 chroma, instead of 4 modes, only 2 modes are chosen. Experimental results show that the computation time of the proposed algorithm is decreased to about 71% of the full search method in the reference code with negligible quality loss.
Keywords
code standards; data compression; decoding; discrete cosine transforms; optimisation; rate distortion theory; video coding; DCT coefficient; H.264/AVC video coding standard; computational complexity; discrete cosine transform; dominant edge direction; intra mode decision algorithm; rate distortion optimization; Automatic voltage control; Computational complexity; Computational efficiency; Discrete cosine transforms; Histograms; Information technology; Motion compensation; Optimization methods; Rate-distortion; Video coding; H.264; Intra-prediction; Mode Decision;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location
San Antonio, TX
ISSN
1522-4880
Print_ISBN
978-1-4244-1437-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2007.4379830
Filename
4379830
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