Channel distortion modeling for multi-view video transmission over packet-switched networks
Article
| Article Title | Channel distortion modeling for multi-view video transmission over packet-switched networks |
|---|---|
| ERA Journal ID | 4443 |
| Article Category | Article |
| Authors | Zhou, Yuan (Author), Hou, Chunping (Author), Xiang, Wei (Author) and Wu, Feng (Author) |
| Journal Title | IEEE Transactions on Circuits and Systems for Video Technology |
| Journal Citation | 21 (11), pp. 1679-1692 |
| Number of Pages | 14 |
| Year | 2011 |
| Publisher | IEEE (Institute of Electrical and Electronics Engineers) |
| Place of Publication | United States |
| ISSN | 1051-8215 |
| 1558-2205 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1109/TCSVT.2011.2133390 |
| Web Address (URL) | https://ieeexplore.ieee.org/document/5739522 |
| Abstract | Channel distortion modeling for generic multi-view video transmission remains a unfilled blank, despite that intensive research efforts have been devoted to model traditional 2-D video transmission. This paper aims to fill this blank through developing a recursive distortion model for multi-view video transmission over lossy packet-switched networks. Based on the study on the characteristics of multi-view video coding and the propagating behavior of transmission error due to random frame losses, a recursive mathematical model is derived to estimate the expected channel-induced distortion at both the frame and sequence levels. The model we develop explicitly considers both temporal and inter-view dependencies, induced by motion-compensated and disparity-compensated coding, respectively. The derived model is applicable to all multi-view video encoders using the classical block-based motion-/disparity-compensated prediction framework. Both objective and subjective experimental results are presented to demonstrate that the proposed model is capable of effectively model channel-induced distortion for multi-view video. |
| Keywords | multi-view video; video encoders; channel distortion; distortion modeling; multi-view coding; packet-switching networks; video transmission |
| ANZSRC Field of Research 2020 | 400605. Optical fibre communication systems and technologies |
| 400699. Communications engineering not elsewhere classified | |
| 490103. Calculus of variations, mathematical aspects of systems theory and control theory | |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | Tianjin University, China |
| Department of Electrical, Electronic and Computer Engineering | |
| Microsoft Research, China | |
| Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q1372/channel-distortion-modeling-for-multi-view-video-transmission-over-packet-switched-networks
2000
total views8
total downloads5
views this month0
downloads this month