一种基于梯度模型的MPEG压缩域的运动对象分割算法

孙涛; 杨高波; 刘理; 张兆扬

doi:10.11834/jig.20080613

图像采集、获取及存储 | 浏览量 : 0 下载量: 253 CSCD: 0

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专辑

一种基于梯度模型的MPEG压缩域的运动对象分割算法
A Moving Objects Segmentation Algorithm Based on Gradient Model in the Compressed Domain
2008年13卷第6期页码：1109-1114
纸质出版：2008
DOI： 10.11834/jig.20080613
稿件说明：

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孙涛, 杨高波, 刘理, 张兆扬. 一种基于梯度模型的MPEG压缩域的运动对象分割算法[J]. 中国图象图形学报, 2008,13(6):1109-1114. DOI： 10.11834/jig.20080613.

A Moving Objects Segmentation Algorithm Based on Gradient Model in the Compressed Domain[J]. Journal of Image and Graphics, 2008, 13(6): 1109-1114. DOI： 10.11834/jig.20080613.

摘要

视频数据大都是经过压缩域的形式存储和传输的，且直接在压缩域进行视频对象分割无需运动估计等复杂的计算，速度较快。本文提出了一种基于梯度模型的MPEG压缩域的运动对象分割算法。首先利用DCT（AC［1］和AC［8］）系数获得所有物体的边缘，然后综合在累积运动矢量基础上得到的边缘运动信息，从而获得感兴趣运动物体的边缘。仿真实验结果表明，它可以取得满意的分割质量。

Abstract

There are several advantages to perform video object segmentation in a compressed domain.The primary benefit is with much high processing speed. Moreover

the video data already exiting in MPEG1 and 2 formats in many databases would have to be decompressed to employ the pixel domain techniques. In this paper

a moving objects segmentation algorithm based on gradient model in compressed domain is proposed. Firstly

DCT coefficients (AC［1］and AC［8］) are utilized to form the gradient image. Then we synthesize the edge motion message obtained from the accumulated motion vectors. Finally

desirable moving objects segmentation results are acquired.