Abstract
This paper addresses the problem of error-resilient source coding for 3-D video transmission over packet-loss networks. The proposed approach jointly optimizes the texture coding mode and the depth coding mode for each macroblock in the reference views. Firstly, a distortion model is developed to capture the effect of the texture distortion and depth distortion on the synthesized view. Then, joint optimization of texture and depth coding modes is derived based upon an operational rate-distortion framework using Lagrange multiplier method. In particular, a dual trellis-based algorithm is introduced in order to overcome the macroblock interdependencies of texture and depth map in the optimization procedure. Simulation results demonstrate that significant and consistent gains can be achieved over currently used techniques.
Original language | English |
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Title of host publication | 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings |
Place of Publication | United States |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 1905-1909 |
Number of pages | 5 |
ISBN (Electronic) | 9781509021758 |
ISBN (Print) | 9781509021765 |
DOIs | |
Publication status | Published - 22 Feb 2018 |
Event | 2017 24th IEEE International Conference on Image Processing: ICIP 2017 - China National Convention Center , Beijing, China Duration: 17 Sep 2017 → 20 Jul 2018 http://2017.ieeeicip.org/ (Conference website) |
Conference
Conference | 2017 24th IEEE International Conference on Image Processing |
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Country | China |
City | Beijing |
Period | 17/09/17 → 20/07/18 |
Internet address |
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