Joint texture and depth map coding for error-resilient 3-D video transmission
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 ca...
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| Vydáno v: | 2017 IEEE International Conference on Image Processing (ICIP) s. 1905 - 1909 |
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| Jazyk: | angličtina |
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01.09.2017
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| ISSN: | 2381-8549 |
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| 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. |
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| AbstractList | 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 | Xiang, Wei Gao, Pan Paul, Manoranjan Rahaman, D. M. Motiur |
| Author_xml | – sequence: 1 givenname: Pan surname: Gao fullname: Gao, Pan organization: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, China – sequence: 2 givenname: Wei surname: Xiang fullname: Xiang, Wei organization: College of Science and Engineering, James Cook University, Australia – sequence: 3 givenname: D. M. Motiur surname: Rahaman fullname: Rahaman, D. M. Motiur organization: School of Computing and Mathematics, Charles Sturt University, Australia – sequence: 4 givenname: Manoranjan surname: Paul fullname: Paul, Manoranjan organization: School of Computing and Mathematics, Charles Sturt University, Australia |
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| Snippet | This paper addresses the problem of error-resilient source coding for 3-D video transmission over packet-loss networks. The proposed approach jointly optimizes... |
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| StartPage | 1905 |
| SubjectTerms | 3-D video transmission depth coding mode Distortion Encoding error-resilient coding Optimization Packet loss Rate-distortion Texture coding mode Video coding |
| Title | Joint texture and depth map coding for error-resilient 3-D video transmission |
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