Joint texture and depth map coding for error-resilient 3-D video transmission

Pan Gao; Wei Xiang; D.M. Motiur Rahaman; Manoranjan Paul

doi:10.1109/ICIP.2017.8296613

Joint texture and depth map coding for error-resilient 3-D video transmission

Pan Gao, Wei Xiang, D.M. Motiur Rahaman, Manoranjan Paul

Research output: Book chapter/Published conference paper › Conference paper › peer-review

1 Citation (Scopus)

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
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	https://doi.org/10.1109/ICIP.2017.8296613
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
Country	China
City	Beijing
Period	17/09/17 → 20/07/18
Internet address	http://2017.ieeeicip.org/ (Conference website)

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10.1109/ICIP.2017.8296613

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title = "Joint texture and depth map coding for error-resilient 3-D video transmission",

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.",

author = "Pan Gao and Wei Xiang and Rahaman, {D.M. Motiur} and Manoranjan Paul",

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Gao, P, Xiang, W, Rahaman, DMM & Paul, M 2018, Joint texture and depth map coding for error-resilient 3-D video transmission. in 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 1905-1909, 2017 24th IEEE International Conference on Image Processing, Beijing, China, 17/09/17. https://doi.org/10.1109/ICIP.2017.8296613

Joint texture and depth map coding for error-resilient 3-D video transmission. / Gao, Pan; Xiang, Wei; Rahaman, D.M. Motiur ; Paul, Manoranjan.

2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. United States : IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 1905-1909.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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