Channel distortion modeling for multi-view video transmission over packet-switched networks

Zhou, Yuan, Hou, Chunping, Xiang, Wei, and Wu, Feng (2011) Channel distortion modeling for multi-view video transmission over packet-switched networks. IEEE Transactions on Circuits and Systems for Video Technology, 21 (11). pp. 1679-1692.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.1109/TCSVT.2011.213...
 
38
1


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.

Item ID: 43285
Item Type: Article (Research - C1)
ISSN: 1558-2205
Keywords: distortion modeling, multi-view coding, multi-view video, packet-switching networks, video transmission
Date Deposited: 24 Feb 2016 07:47
Downloads: Total: 1
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page