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Optical Engineering

Motion estimation algorithm for image sequence coding
Author(s): Shiuh-Ku Weng; Chung-Ming Kuo; Chaur-Heh Hsieh
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Paper Abstract

A new block-based motion estimation algorithm for image sequence coding is proposed. The motion vectors between neighboring blocks are highly correlated, and the correlation exists in two dimensions in general. We model the 2-D motion correlation with two separate 1-D models in the horizontal and vertical directions, respectively. The 1-D Kalman filtering is then used to obtain the estimates in the two directions. By linearly combining the two estimates, we develop a motion estimation algorithm that exploits the motion correlation in two dimensions in a simple manner. The algorithm overcomes the difficulty of the general 2-D Kalman filter, which is very complicated and computationally intensive. The results indicate that the proposed algorithm achieves a significant reduction in computation with better performance as compared with the conventional full search algorithm.

Paper Details

Date Published: 1 December 1997
PDF: 9 pages
Opt. Eng. 36(12) doi: 10.1117/1.601566
Published in: Optical Engineering Volume 36, Issue 12
Show Author Affiliations
Shiuh-Ku Weng, Chung Cheng Institute of Technology (Taiwan)
Chung-Ming Kuo, Chinese Naval Academy (Taiwan)
Chaur-Heh Hsieh, Kaohsiung Polytechnic Institute (Taiwan)

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