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Optical Engineering

Performance enhancement for rate-constrained motion estimation using Kalman filter
Author(s): Chung-Ming Kuo; Shu-Chiang Chung; Po-Yi Shih
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Paper Abstract

We present a new rate-constrained [rate and distortion (R-D)] motion estimation algorithm using Kalman filter to enhance the performance of the conventional R-D motion estimation at a relative low computational cost. We try to amend the incorrect and/or inaccurate estimate of motion with higher precision by using a Kalman filter. We first obtain a measurement of the motion vector of a block by using the existing R-D motion estimation scheme. We then generate the predicted motion vector utilizing the interblock correlation in neighboring blocks. Based on these two motion information, a simple 1-D Kalman filter is applied to obtain the optimal estimate of the motion vector. Simulation results show that the proposed technique can efficiently improve the R-D motion estimation performance.

Paper Details

Date Published: 1 November 2004
PDF: 8 pages
Opt. Eng. 43(11) doi: 10.1117/1.1799151
Published in: Optical Engineering Volume 43, Issue 11
Show Author Affiliations
Chung-Ming Kuo, I-Shou Univ. (Taiwan)
Shu-Chiang Chung, I-Shou Univ. (Taiwan)
Po-Yi Shih, I-Shou Univ. (Taiwan)

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