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中文摘要：
针对压缩域视频的运动对象分割在复杂背景下分割精度不高的问题，提出一种基于最新压缩编码HEVC的运动分割方法。首先从HEVC压缩码流中提取块划分和相对应的运动矢量信息，并分别在帧内和帧间对运动矢量进行空域和时域的标签分类，然后利用MRF模型对标签场进行运动一致性估计，得到更精确的运动目标，最后输出MRF分割后形成的掩模信息。通过实验证明，该运动分割方法能够达到有效并可靠的分割效果，尤其对于多目标运动的视频分割效果优于其他比较的方法。
英文摘要：
To solve the problem that the segmentation accuracy of moving object is not high enough under complex back-ground in compressed domain video, this paper proposes a moving object segmentation method based on the up-to-date video coding standard HEVC. Firstly, block partitions and corresponding motion vectors extracted from the HEVC bit-stream are classified based on spatial and temporal consistency in intra frame and inter frames. Then the MRF model is se-lectively exploited to refine the classification result for more accurate video object. Experimental results show that the pro-posed method can achieve an effective and reliable segmentation result, and the method is better than the other compari-son methods especially for multiple target motion video segmentation.
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