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Optical Engineering

Efficient motion estimation algorithm based on structure segmentation compensability analysis
Author(s): Jianping Fan; Jun Yu; XiangLan Xue; Lide Wu
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Paper Abstract

We report our study of a novel motion estimation algorithm based on structure segmentation and compensability analysis, where the macroblocks in the prediction frames are classified into four types corresponding to stationary background (or stationary objects), uncovered background (or new objects), moving objects, and edges among them. Then the following motion estimation operation is only performed on the compensable macroblocks, and the motion interaction among neighboring macroblocks is further used for reducing the search range. Preliminary results indicate that this proposed technique not only reduces the estimation burden drastically but also avoids the discontinuous change of picture quality, thus resulting in improvements of the subjective picture quality in comparison with a normal fast search algorithm.

Paper Details

Date Published: 1 May 1998
PDF: 8 pages
Opt. Eng. 37(5) doi: 10.1117/1.601682
Published in: Optical Engineering Volume 37, Issue 5
Show Author Affiliations
Jianping Fan, Fudan University (United States)
Jun Yu, Huazhong Univ. of Science and Technology (China)
XiangLan Xue, Fudan University (China)
Lide Wu, Fudan University (China)


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