Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/278
Title: Retinex based motion estimation for sequences with brightness variations and its application to H.264
Authors: Cheung, Hoi-Kok
Siu, Wan-chi
Feng, D. David
Wang, Zhiyong
Subjects: Motion estimation
Video coding
Motion compensation
Discrete cosine transform
H.264
Issue Date: 2008
Publisher: IEEE
Source: 2008 IEEE International Conference on Acoustics, Speech, and Signal Processing : proceedings : March 30-April 4, 2008, Caesars Palace, Las Vegas, Nevada, U.S.A., p. 1161-1164
Abstract: Conventional motion estimation does not take inter-frame brightness variations into consideration, which causes inefficient video coding for sequences involving brightness variations. H.264 provides a specific mode called weighted prediction targeting to improve the coding efficiency for this case. In this paper, we propose a Retinex based motion estimation scheme which effectively removes the inter-frame de-correlation factor resulting from brightness variations. We also propose to use some DCT techniques to generate the Retinex images for both current and reference images and apply conventional motion estimation and compensation procedures for coding. We applied the scheme to the H.264 testing the efficiency in the multiple reference frame motion compensation environment. Experimental results show that our proposed scheme outperforms the H.264 system with weighted prediction enabled. It allows the system to use a smaller number of reference frames for coding, e.g. 2, to achieve a similar (or slightly better) compression efficiency of the H.264 system using 5 reference frames.
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Type: Conference Paper
URI: http://hdl.handle.net/10397/278
ISBN: 1424414849
Appears in Collections:EIE Conference Papers & Presentations

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