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Optical Engineering

Multiresolution segmentation of video objects in the compression domain
Author(s): Xu-li Shi; Zhao-Yang Zhang; Liquan Shen; Yu Lu; Suxing Liu
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Paper Abstract

This paper proposes a multiresolution method for video object segmentation in the compression domain. We first calculate global motion parameters using only background macroblocks with tiny residual dc coefficients of the P frame, and then get true motion vectors projected to the immediate adjoined I frame. The basic layer image is obtained with only dc coefficients of the I frame. The enhancement texture characteristics are provided by the ac coefficients for partial decoding. The true object motion vectors and the basic layer image are fed into a morphological motion filter to get the lowest-resolution regions of moving objects, called the layer4 region of interest (L4-ROI). Only some of the ac coefficients in L4-ROI are decoded to obtain a higher-resolution image, called layer3, that mainly consists of blocks of the moving object. The moving object of interest in the highest resolution is obtained from a morphological motion filter with L2-ROI and the true object motion vectors. The number of ac coefficients determines the resulting resolution. Experiments show that the new algorithm can extract multiresolution moving objects efficiently.

Paper Details

Date Published: 1 September 2007
PDF: 6 pages
Opt. Eng. 46(9) 097401 doi: 10.1117/1.2784773
Published in: Optical Engineering Volume 46, Issue 9
Show Author Affiliations
Xu-li Shi, Shanghai Univ. (China)
Zhao-Yang Zhang, Shanghai Univ. (China)
Liquan Shen, Shanghai Univ. (China)
Yu Lu, Shanghai Univ. (China)
Suxing Liu, Shanghai Univ. (China)


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