NDLI: An auto-regressive model for checkboard splitting based Wyner-Ziv coding

Content Provider	IEEE Xplore Digital Library
Author	Yongbing Zhang Debin Zhao Siwei Ma Ronggang Wang Wen Gao
Copyright Year	2009
Description	Author affiliation: France Telecom R&D, Beijing, Co., Ltd, China (Ronggang Wang) \|\| Harbin Institute of Technology, China (Yongbing Zhang; Debin Zhao) \|\| Peking University, Beijing, China (Siwei Ma; Wen Gao)
Abstract	An auto-regressive (AR) based side information (SI) generation is proposed in this paper for block based chessboard pattern Wyner-Ziv (WZ) coding, where each WZ frame is split into two sets at encoder and then encoded separately. At the decoder, one set of the WZ frame will be firstly reconstructed, and then proposed AR model is used to generate the SI of the other set, where each pixel is generated as a linear weighted summation of pixels within two square windows in the previous and following reconstructed WZ/key frames along the motion trajectory. To obtain high quality SI for the second set, reconstructed pixels in the four neighboring blocks of the first set are employed to derive accurate AR coefficients. Several experimental results demonstrate that the proposed AR model is able to improve the quality of the SI for the second set of the WZ frame, which leads to the improvement of the rate-distortion performance of the WZ coding.
Starting Page	1
Ending Page	4
File Size	185514
Page Count	4
File Format	PDF
ISBN	9781424445936
DOI	10.1109/PCS.2009.5167467
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-06
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Video coding Maximum likelihood estimation Motion estimation side information chessboard splitting Decoding Telecommunications Research and development Wireless sensor networks wyner-ziv Rate-distortion Video surveillance Motion compensation auto-regressive
Content Type	Text
Resource Type	Article

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