DocumentCode :
2325738
Title :
Low-Complexity Encoding Method for H.264/AVC Based on Visual Perception
Author :
Liu, Pengyu ; Jia, Kebin
Author_Institution :
Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol., Beijing, China
fYear :
2011
fDate :
14-16 Oct. 2011
Firstpage :
352
Lastpage :
355
Abstract :
H.264/AVC standard achieved excellent encoding performance of at the cost of increased computational complexity and falling encoding speed. In order to overcome poor real-time encoding performance of H.264/AVC, aiming at computing redundancy, based on the integration of visual selective attention mechanism and low complexity encoding of information analysis and visual perception, making use of the distribution of motion vector and the relationship between the mode decision probability and the human visual attention a low-complexity H.264/AVC video coding scheme is implemented in this paper. The simulation results show that the approach encoding effectively resolves the conflict between coding accuracy and speed, saving about 80% coding time on average, which effectively maintains good video quality and overall improves the encoding performance of H.264/AVC.
Keywords :
computational complexity; data compression; probability; video coding; computational complexity; human visual attention; information analysis; low-complexity H.264-AVC video coding scheme; low-complexity encoding method; mode decision probability; motion vector distribution; video quality; visual perception; visual selective attention mechanism; Algorithm design and analysis; Classification algorithms; Encoding; Mathematical model; Motion estimation; Software algorithms; Vectors; H.264/AVC; Motion vector; mode decision; visual perception;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2011 Seventh International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1397-2
Type :
conf
DOI :
10.1109/IIHMSP.2011.46
Filename :
6079599
Link To Document :
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