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Efficient High-Speed Intra Mode Prediction based on Statistical Probability  

Lim, Woong (Dept. of Computer Engineering, Kwangwoon University)
Nam, Jung-Hak (Dept. of Computer Engineering, Kwangwoon University)
Jung, Kwang-Soo (Dept. of Computer Engineering, Kwangwoon University)
Sim, Dong-Gyu (Dept. of Computer Engineering, Kwangwoon University)
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Abstract
The H.264/AVC has been designed to use 9 directional intra prediction modes for removing spatial redundancy. It also employs high correlation between neighbouring block modes in sending mode information. For indication of the mode, smaller bits are assigned for higher probable modes and are compressed by predicting the mode with minimum value between two prediction modes of neighboring two blocks. In this paper, we calculated the statistical probability of prediction modes of the current block to exploit the correlation among the modes of neighboring two blocks with several test video sequences. Then, we made the probable prediction table that lists 5 most probable candidate modes for all possible combinatorial modes of upper and left blocks. By using this probability table, one of 5 higher probable candidate modes is selected based on RD-optimization to reduce computational complexity and determines the most probable mode for each cases for improving compression performance. The compression performance of the proposed algorithm is around 1.1%~1.50%, compared with JM14.2 and we achieved 18.46%~36.03% improvement in decoding speed.
Keywords
intra prediction; mode prediction; statistical probability;
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