Robust moving object segmentation on H.264/AVC compressed video using the block-based MRF model

doi:10.1016/j.rti.2005.04.008

	Robust moving object segmentation on H.264/AVC compressed video using the block-based MRF model
	Zeng, W ; Du, J ; Gao, W ; Huang, QM
	2005-08-01
发表期刊	REAL-TIME IMAGING
ISSN	1077-2014
卷号	11 期号:4 页码:290-299
摘要	Moving object segmentation in compressed domain plays an important role in many real-time applications, e.g. video indexing, video transcoding, video surveillance, etc. Because H.264/AVC is the up-to-date video-coding standard, few literatures have been reported in the area of video analysis on H.264/AVC compressed video. Compared with the former MPEG standard, H.264/AVC employs several new coding tools and provides a different video format. As a consequence, moving object segmentation on H.264/ AVC compressed video is a new task and challenging work. In this paper, a robust approach to extract moving objects on H.264/ AVC compressed video is proposed. Our algorithm employs a block-based Markov Random Field (MRF) model to segment moving objects from the sparse motion vector field obtained directly from the bitstream. In the proposed method, object tracking is integrated in the uniform MRF model and exploits the object temporal consistency simultaneously. Experiments show that our approach provides the remarkable performance and can extract moving objects efficiently and robustly. The prominent applications of the proposed algorithm are object-based transcoding, fast moving object detection, video analysis on compressed video, etc. D 2005 Elsevier Ltd. All rights reserved.
DOI	10.1016/j.rti.2005.04.008
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号	WOS:000231655500004
出版者	ACADEMIC PRESS LTD ELSEVIER SCIENCE LTD
引用统计	被引频次：73[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/10289
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zeng, W
作者单位	1.Harbin Inst Technol, Dept Comp Sci & Engn, Harbin 150001, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100039, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Zeng, W,Du, J,Gao, W,et al. Robust moving object segmentation on H.264/AVC compressed video using the block-based MRF model[J]. REAL-TIME IMAGING,2005,11(4):290-299.
APA	Zeng, W,Du, J,Gao, W,&Huang, QM.(2005).Robust moving object segmentation on H.264/AVC compressed video using the block-based MRF model.REAL-TIME IMAGING,11(4),290-299.
MLA	Zeng, W,et al."Robust moving object segmentation on H.264/AVC compressed video using the block-based MRF model".REAL-TIME IMAGING 11.4(2005):290-299.