TIIS (한국인터넷정보학회)
Current Result Document : 2 / 5
| 한글제목(Korean Title) |
Side Information Extrapolation Using Motion-aligned Auto Regressive Model for Compressed Sensing based Wyner-Ziv Codec |
| 영문제목(English Title) |
Side Information Extrapolation Using Motion-aligned Auto Regressive Model for Compressed Sensing based Wyner-Ziv Codec |
| 저자(Author) |
Ran Li
Zongliang Gan
Ziguan Cui
Minghu Wu
Xiuchang Zhu
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| 원문수록처(Citation) |
VOL 07 NO. 02 PP. 0366 ~ 0385 (2013. 02) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In this paper, we propose a compressed sensing (CS) based Wyner-Ziv (WZ) codec using motion-aligned auto regressive model (MAAR) based side information (SI) extrapolation to improve the compression performance of low-delay distributed video coding (DVC). In the CS based WZ codec, the WZ frame is divided into small blocks and CS measurements of each block are acquired at the encoder, and a specific CS reconstruction algorithm is proposed to correct errors in the SI using CS measurements at the decoder. In order to generate high quality SI, a MAAR model is introduced to improve the inaccurate motion field in auto regressive (AR) model, and the Tikhonov regularization on MAAR coefficients and overlapped block based interpolation are performed to reduce block effects and errors from over-fitting. Simulation experiments show that our proposed CS based WZ codec associated with MAAR based SI generation achieves better results compared to other SI extrapolation methods.
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| 키워드(Keyword) |
Compressed sensing
Wyner-Ziv codec
side information
motion-aligned auto regressive model
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| 파일첨부 |
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