篇名 | Fast Mode Decision Using Fuzzy Reasoning for Motion Estimation in H.264/AVC Video Coding |
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卷期 | 10:4 |
作者 | Pei-Jun Lee 、 Han-Kui Chang |
頁次 | 250-259 |
關鍵字 | Fuzzy logic 、 MPEG-4 、 H.264/AVC 、 motion degree 、 motion estimation 、 mode decision 、 edge energy distribution 、 EI 、 SCI 、 SCIE 、 Scopus |
出刊日期 | 200812 |
To improve the coding efficiency, many optional macroblock encoding modes have been provided in H.264/AVC video coding standard. Exhaustively searching over all possible modes to choose the best coding mode for each macroblock is the most reliable one, but it causes a lot of computational complexity. This paper proposes a fast algorithm to select the coding mode such that the number of candidate modes to be searched in motion estimation is signifi-cantly reduced and the coding picture quality is al-most remained. Fuzzy logic technique with four in-puts, one motion degree and three edge energies dis-tribution of the image is used in the proposed algo-rithm to select the most appropriate mode for the motion estimation in H.264/AVC video coding. The simulation results show that the encoding time in the proposed algorithm is reduced to 55.7%~70% of the time searching for all coding modes exhaustively and the coded picture quality is not affected almost.