A rate–distortion optimized error-resilient algorithm for multi-view video coding
Article
Article Title | A rate–distortion optimized error-resilient algorithm for multi-view video coding |
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ERA Journal ID | 4527 |
Article Category | Article |
Authors | Gao, Pan (Author), Xiang, Wei (Author), Peng, Qiang (Author) and Billingsley, John (Author) |
Journal Title | Circuits, Systems and Signal Processing |
Journal Citation | 35 (1), pp. 301-323 |
Number of Pages | 23 |
Year | 2016 |
Place of Publication | Switzerland |
ISSN | 0278-081X |
1531-5878 | |
Digital Object Identifier (DOI) | https://doi.org/10.1007/s00034-015-0065-x |
Web Address (URL) | http://download.springer.com/static/pdf/566/art%253A10.1007%252Fs00034-015-0065-x.pdf?originUrl=http%3A%2F%2Flink.springer.com%2Farticle%2F10.1007%2Fs00034-015-0065-x&token2=exp=1491455550~acl=%2Fstatic%2Fpdf%2F566%2Fart%25253A10.1007%25252Fs00034-015-006 |
Abstract | In this paper, a new rate–distortion (R–D) optimized error-resilient scheme is proposed to improve error resilience for multi-view video transmission over lossy networks. Based on the study on the characteristics of multi-view video coding and the propagating behavior of channel errors, a recursive model to estimate the end-to-end distortion is first developed, in which the channel-induced distortion takes into consideration both motion and disparity compensation prediction. Then, based on the estimated distortion and the derived total bit rate, R–D optimized motion and disparity estimation are employed to find the reliable motion vector and disparity vector to achieve the optimum trade-off between prediction efficiency and error robustness. Finally, R–D optimization is applied again to perform coding mode decision, which explicitly considers intra, inter and inter-view prediction modes. Extensive experimental results demonstrate significant performance gains can be achieved for multi-view video communications against transmission errors. |
Keywords | error-resilient, multi-view video, distortion estimation, motion and disparity estimation, mode decision |
ANZSRC Field of Research 2020 | 400699. Communications engineering not elsewhere classified |
460306. Image processing | |
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/q3w58/a-rate-distortion-optimized-error-resilient-algorithm-for-multi-view-video-coding
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