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Motion vector memory reduction scheme for scalable motion estimation会议论文

作者: Choi Jinha Kim Jaeseok
DOI:10.1117/1.3212689

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页码: 019019-019013
卷期: Volume:2009    Issue:1
摘要: We propose a motion vector memory reduction scheme for the H.264 spatial scalable motion estimation. The spatial scalable prediction of H.264 scalable video coding requires a significant amount of motion vector bits from the previous layer motion prediction. This motion vector causes the Internal memory size to increase, which may result in increasing hardware cost and power consumption. To reduce the memory size of the motion vector, we propose a motion vector bit-compression scheme of the interlayer motion estimation. The proposed compression scheme uses the difference value of current motion vector and previous motion vector to get a probability for entropy coding. In addition, the proposed scheme modifies a variable length coding table of the H.264 system as a simple entropy coding table. The proposed scheme reduces the motion vector-storing bit by with less changes in hardware size.
相关主题: motion estimation, motion vector coding, scalable video coding, H.264,

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