On Power-Saving Motion Estimation using Variable Subsample Ratios
碩士 === 國立交通大學 === 電機與控制工程系所 === 93 === In modern video standard, such as MPEG-1, MPEG-2, MPEG-4 and H.264/MPEG-4 AVC, motion estimation requires the heaviest computational load and hence dominates main power requirement in video compression. Lots of published papers have presented efficient algorith...
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| Format: | Others |
| Language: | en_US |
| Published: |
2005
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| Online Access: | http://ndltd.ncl.edu.tw/handle/hxcduw |
| Summary: | 碩士 === 國立交通大學 === 電機與控制工程系所 === 93 === In modern video standard, such as MPEG-1, MPEG-2, MPEG-4 and H.264/MPEG-4 AVC, motion estimation requires the heaviest computational load and hence dominates main power requirement in video compression. Lots of published papers have presented efficient algorithms for motion estimation. But they don’t consider the influence of the video content. An adaptive motion estimation algorithm with variable subsample ratios has been presented. This proposed algorithm can adaptively select the compatible subsample ratio for each current group of picture (GOP). This proposed algorithm has been successful implemented in H.264/MPEG-4 AVC with software model JM9.2. Experimental results have shown that the proposed algorithm can not only adaptively select the suitable subsample ratio to various video sequences but also maintain ΔPSNRY of 0.36 dB at most to save about 69.6% power consumption of motion estimation in a fixed bit rate control on average. The proposed algorithm can also easily combine with other fast algorithms which reduce the computational complexity of FSBM. For FME in JM 9.2, we save 73.6% power consumption and keep quality degradation under 0.33 dB. Hence the proposed algorithm is suitable for real-time implementation of high quality and power-saving video applications using a powerful CPU.
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