一种基于梯度模型的MPEG压缩域的运动对象分割算法

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(AC1]和AC8])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。

A Moving Objects Segmentation Algorithm Based on Gradient Model in the Compressed Domain

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(AC1]and AC8]) 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.