DocumentCode :
2354149
Title :
Efficient Fast Intra Mode Decision and Classified Block Type Algorithms for H.264/AVC Encoder
Author :
Bharanitharan, K. ; Tsai, An Chao
Author_Institution :
Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
Volume :
1
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
172
Lastpage :
176
Abstract :
H.264, MPEG-4 Part 10, is the latest digital video coding standard that achieves very high data compression by using several new coding features. One of the key features is the intra prediction based on the rate distortion optimization (RDO) procedure, which requires a true encoding of the intra block by trying all intra prediction modes. The computational burden of intra prediction with the RDO procedure is extremely high for real time applications. In this paper, we propose a classified block type (CBT) algorithm that selects the appropriate intra block size and further our proposed subblock based direction detection (SDD) algorithm processes the selected block that reduces a number of candidate mode required for RDO which significantly reduces the encoder complexity. Experimental results show that the proposed fast mode decision algorithm reduces the encoding time by about 68%, with negligible loss of video quality.
Keywords :
data compression; rate distortion theory; video coding; AVC encoder; H.264 encoder; MPEG-4 Part 10; classified block type algorithms; computational burden; data compression; digital video coding standard; efficient fast intra mode decision; encoder complexity; intra prediction modes; rate distortion optimization; subblock-based direction detection algorithm; video quality; Automatic voltage control; Cost function; Encoding; IEC standards; ISO standards; Image edge detection; Prediction algorithms; Rate-distortion; Very large scale integration; Video coding; H.264/AVC; Intra prediction; edge detection; fast algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology, 2009. CIT '09. Ninth IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3836-5
Type :
conf
DOI :
10.1109/CIT.2009.10
Filename :
5329435
Link To Document :
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