A Fast Intra-frame Prediction Algorithm based on Two-Dimension histogram for H.264/AVC
Jing Xie, Kebin Jia, Pengyu Liu
Abstract
Jing Xie, Kebin Jia, Pengyu Liu
Abstract
H.264/AVC is the latest video coding standard with high compression efficiency. Due to its time-consuming in coding, it cannot meet the real-time application requirements. In this paper, an efficient algorithm was proposed based on 2D-histogram according to the feature of intra-frame prediction. In this algorithm, each macroblock is predicted before coding, and one of the two prediction modes is selected. As a result of this processing, coding time has been reduced dramatically. Experimental results show that the coding time of proposed algorithm is 16.26% less than that of H.264/AVC, at the expense of little quality degradation
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H.264/AVC is the latest video coding standard with high compression efficiency. Due to its time-consuming in coding, it cannot meet the real-time application requirements. In this paper, an efficient algorithm was proposed based on 2D-histogram according to the feature of intra-frame prediction. In this algorithm, each macroblock is predicted before coding, and one of the two prediction modes is selected. As a result of this processing, coding time has been reduced dramatically. Experimental results show that the coding time of proposed algorithm is 16.26% less than that of H.264/AVC, at the expense of little quality degradation
Key concepts: Macroblock, Computer science, Histogram, Context-adaptive variable-length coding, Context-adaptive binary arithmetic coding, Coding (social sciences), Coding tree unit, Algorithmic efficiency