Error-resilient multi-view video coding using Wyner-Ziv techniques
Article
Article Title | Error-resilient multi-view video coding using Wyner-Ziv techniques |
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ERA Journal ID | 18083 |
Article Category | Article |
Authors | Gao, Pan (Author), Peng, Qiang (Author) and Xiang, Wei (Author) |
Journal Title | Multimedia Tools and Applications |
Journal Citation | 74 (18), pp. 7957-7982 |
Number of Pages | 26 |
Year | 2015 |
Publisher | Springer |
Place of Publication | United States |
ISSN | 1380-7501 |
1573-7721 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s11042-014-2033-z |
Web Address (URL) | https://link.springer.com/article/10.1007/s11042-014-2033-z |
Abstract | In this paper, a Wyner-Ziv (WZ) coding based error-resilient scheme is proposed for multi-view video transmission over error-prone channels. At the encoder, the key frames of the odd views are protected by WZ encoding to generate the auxiliary bit-stream alongside the multi-view video coded bit-stream. At the decoder, error-concealed multi-view decoded frames are used as the side information (SI) for WZ decoding. Based on the study on the characteristics of multi-view video coding (MVC) and the propagating behavior of channel errors, a recursive model to estimate the transmission distortion is developed in the transform domain, in which the channel-induced distortion takes into consideration both motion and disparity compensation. With the proposed model, we propose a rate control strategy for WZ encoding to infer the minimum bit rate so as to correct the SI errors. The WZ bit rate estimation method exploits the correlation between the original bit-planes and the SI bit-planes as well as the bit-plane interdependency. Extensive experimental results show that the proposed error-resilient scheme outperforms Reed Solomon based forward error correction method by about 1.1 dB and outperforms the adaptive intra refresh algorithm by approximately 1.6 dB at the packet loss rate 10 %. |
Keywords | bit rate estimation; error resilience; multi-view video coding; transmission distortion estimation; Wyner-Ziv coding |
ANZSRC Field of Research 2020 | 400699. Communications engineering not elsewhere classified |
461301. Coding, information theory and compression | |
461299. Software engineering not elsewhere classified | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Mechanical and Electrical Engineering |
Southwest Jiaotong University, China | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q2747/error-resilient-multi-view-video-coding-using-wyner-ziv-techniques
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