Paper Info
Title
Texture-Distortion-Constrained Joint Source-Channel Coding of Multi-View Video Plus Depth-Based 3D Video
Abstract
A novel joint source and channel coding scheme tailored to 3D video is proposed in this paper to minimize the end-to-end view synthesis distortion within a given total bit rate for both texture and depth as well as a maximum tolerable distortion constraint for texture. First, we formulate a joint texture and depth coding mode selection strategy for error-resilient source coding of multi-view video plus depth-based 3D video through using the Lagrange multiplier method. Then, by considering the effect of residual errors after channel coding, we evolve to a more general formulation that jointly optimizes error-resilient source coding and channel coding in an integrated manner for unequal error protection between texture and depth, for which a theoretic solution using a proposed dual-trellis is derived. Finally, we extend the general formulation by including the texture distortion constraint. We show how to optimize the view synthesis quality while simultaneously catering to the texture quality constraint. Experimental results demonstrate the proposed algorithm has much better performance than existing related work.
Year
DOI
Venue
2019
10.1109/TCSVT.2018.2877903
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
DocType
Volume
Joint source and channel coding,joint texture and depth map coding,texture distortion constraint,3D video transmission
Journal
29
Issue
ISSN
Citations 
11
1051-8215
2
PageRank 
References 
Authors
0.37
0
3
Name
Order
Citations
PageRank
Pan Gao1205.13
Wei Xiang263078.60
Liang Dong332652.32