2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW) (2017)
Hong Kong, Hong Kong
July 10, 2017 to July 14, 2017
Pan Gao , College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China
Wei Xiang , College of Science and Engineering, James Cook University, Australia
Bing Wang , School of Information Science and Technology, Southwest Jiaotong University, China
This paper addresses the problem of joint source and channel coding for 3-D video coding and transmission. Firstly, we formulate a packet-level joint texture and depth coding mode selection framework for error-resilient source coding using Lagrange multiplier. Then, we evolve to the more general formulation that jointly optimizes error-resilient source coding and channel coding for texture and depth with unequal error protection. Finally, based on the adjacent packet dependency, we derive a theoretic approach to efficiently find the optimal solution. The proposed algorithm explicitly considers the interaction between error-resilient source coding and channel coding tailored to 3-D video, and the different sensitivities of the view synthesis quality to texture distortion and depth distortion. Experimental results are presented for a wide range of packet loss rates in order to illustrate the benefit of the proposed 3-D video coding framework.
Distortion, Encoding, Correlation, Optimization
P. Gao, W. Xiang and Bing Wang, "Optimal mode selection and channel coding for 3-D video streaming over the internet," 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Hong Kong, Hong Kong, 2017, pp. 31-36.