关键词: 高效率视频编码（HEVC）, 运动目标分割, 块划分, 马尔可夫随机场（MRF）

Abstract: To solve the problem that the segmentation accuracy of moving object is not high enough under complex background 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 bitstream are classified based on spatial and temporal consistency in intra frame and inter frames. Then the MRF model is selectively exploited to refine the classification result for more accurate video object. Experimental results show that the proposed method can achieve an effective and reliable segmentation result, and the method is better than the other comparison methods especially for multiple target motion video segmentation.

Key words: High Efficiency Video Coding（HEVC）, moving object segmentation, block partition, Markov Random Field（MRF）