Modeling of transmission distortion for multi-view video in packet lossy networks

Zhou, Yuan and Hou, Chunping and Xiang, Wei (2010) Modeling of transmission distortion for multi-view video in packet lossy networks. In: GLOBECOM 2010: IEEE Global Telecommunications Conference, 6-10 Dec 2010, Miami, FL, USA.

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In this paper, a mathematical model is proposed to estimate the distortion caused by random packet losses for multi-view video transmission. Based on the study of multiview video coding, the proposed model takes into account the disparity/motion compensation which relates the channel-induced distortion in the current frame with that in the previous frame or the adjacent view, and allows for any motion-compensated and disparity-compensated concealment method at the decoder. Comparative studies between the modeled and simulated distortion results demonstrates that the proposed model is able to estimate the transmission distortion of multi-view video with high accuracy.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher's copyright restriction. Author version not held.
Faculty/School / Institute/Centre: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 10 Feb 2011 00:26
Last Modified: 22 Jun 2018 02:23
Uncontrolled Keywords: multi-view; video communication; distortion modeling; packet loss
Fields of Research : 10 Technology > 1005 Communications Technologies > 100509 Video Communications
08 Information and Computing Sciences > 0802 Computation Theory and Mathematics > 080299 Computation Theory and Mathematics not elsewhere classified
08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080110 Simulation and Modelling
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1109/GLOCOM.2010.5683774

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