%0 Journal Article
%T A High Precision Compressed Domain Approach for Video Object Segmentation<br>一种高精度的压缩域视频目标分割算法
%A Tang Zhi-feng
%A Wang Shi-jun
%A Yang Shu-yuan
%A <br>唐志峰
%A 王诗俊
%A 杨树元
%J 电子与信息学报
%D 2007
%I 
%X A fast video object segmentation method working in MPEG compressed domain is presented in this paper. Moving object masks in P frames are extracted by exploiting features obtained by partial decoding. To increase object boundary precision, for each P frame, a 1/16 sub image is constructed using DC and three AC coefficients, and motion compensation information, then a fast mean shift clustering algorithm is used to divide the image into regions with coherence luminance and obtain high precision region boundaries. For reducing the influence of motion vector noise, a MRF-based statistical labeling method is exploited to classify regions into two classes: moving object and background. The proposed algorithm can get a boundary precision of 4×4 sub-block with a high processing speed. For CIF video streams, the algorithm can run at a speed of 40 frames per second in a Pentium IV 2GHz platform.
%K Video object segmentation
%K compressed domain
%K fast mean shift clustering
%K Markov Random Field(MRF)<br>视频目标分割
%K 压缩域
%K 快速平均移聚类
%K 马尔可夫场
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=EFC0377B03BD8D0EF4BBB548AC5F739A&aid=3038CF7C0C3F6778226322029FABB92B&yid=A732AF04DDA03BB3&vid=771469D9D58C34FF&iid=59906B3B2830C2C5&sid=897A85F252A85EF6&eid=B154938F72E5FDF2&journal_id=1009-5896&journal_name=电子与信息学报&referenced_num=0&reference_num=19