DocumentCode :
2430975
Title :
Constrained one-bit transform for retinex based motion estimation for sequences with brightness variations
Author :
Cheung, Hoi-Kok ; Siu, Wan-chi ; Feng, Dagan ; Zhiyong Wan
Author_Institution :
Sch. of Inf. Technol., Univ. of Sydney, Sydney, NSW
fYear :
2008
fDate :
7-11 June 2008
Firstpage :
682
Lastpage :
685
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.
Keywords :
binary codes; discrete cosine transforms; image matching; image sequences; motion estimation; transform coding; video coding; DCT; binary matching; constrained one-bit transform; inter-frame brightness variation; retinex based fast motion estimation; video coding; video sequence; Brightness; Convolution; Decoding; Discrete cosine transforms; Discrete transforms; Light sources; Lighting; Motion estimation; Neural networks; Video coding; H.264; Motion estimation; discrete cosine transform; two-bit transform(2BT); video coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks and Signal Processing, 2008 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-2310-1
Electronic_ISBN :
978-1-4244-2311-8
Type :
conf
DOI :
10.1109/ICNNSP.2008.4590437
Filename :
4590437
Link To Document :
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