Moving Object Segmentation Based on Video Coding Information in H.264 Compressed Domain

被引：0

作者：

Niu, Changfeng ^{[1
]}

Liu, Yushu ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Comp Sci, Beijing Lab Intelligent Informat Technol, Beijing 100081, Peoples R China

来源：

PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9 | 2009年

关键词：

Moving Object Segmentation; H.264; Compressed Domain;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper presents a novel segmentation approach to extract moving objects in the H.264 compressed domain. In the proposed method, some H.264 video coding information besides motion vector is used to segment moving object more accurately. Firstly, motion vector is refined by the motion relativity in space and time. Secondly, a coarse segmentation is gotten through motion vector difference between motion vector and global motion. Finally, the coarse segmentation is refined by either intra prediction mode in intra-frame or expansion and contraction operation in inter-frame. Experimental results for several H.264 compressed video sequences demonstrate the good segmentation quality of the proposed approach.

引用

页码：2033 / 2037

页数：5

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