Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/277
Title: Constrained one-bit transform for retinex based motion estimation for sequences with brightness variations
Authors: Cheung, HK
Siu, WC 
Feng, DD
Wang, Z
Keywords: Motion estimation
Video coding
Two-bit transform (2BT)
Discrete cosine transform
H.264
Issue Date: 2008
Publisher: IEEE
Source: 2008 IEEE International Conference on Neural Networks and Signal Processing (ICNNSP 08), Zhenjiang, China, June 8-10, 2008, p. 682-685 How to cite?
Abstract: In this paper, we propose a DCT based binary matching approach for fast motion estimation. The proposed approach is suitable to be applied to our previously proposed retinex based coding system which is characterized with fast motion estimation and the capability of accurately estimating motions for sequences having inter-frame brightness variations. We propose to apply the DCT techniques to the transformation of images to the binary bit plane and to the scaled retinex domain, which is more computationally efficient compared to the conventional convolution based bit transformation approach. Experimental results show that our proposed DCT based bit transform has a very close prediction quality performance (less than 0.1dB drop) to that of the convolution based approach while our system can avoid the extra convolution procedure.
URI: http://hdl.handle.net/10397/277
ISBN: 978-1-4244-2311-8
Rights: © 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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