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Robust H.264/AVC Video Transmission using Data Partitioning and Unequal Loss Protection
Xi’an Jiaotong University, Department of Computer Science, China.
School of Engineering and Applied Science, Aston University, UK. (Adaptive Communications Networks Research)
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, The Institute of Technology. (Mobile Telecommunications)ORCID iD: 0000-0002-0019-8411
Institute for Infocomm Research, Singapore.
2010 (English)In: IEEE 10th International Conference on Computer and Information Technology (CIT), 2010 / [ed] IEEE, Piscataway, NJ, USA: IEEE , 2010, 2471-2477 p.Conference paper (Refereed)
Abstract [en]

In this work, we present an adaptive unequal loss protection (ULP) scheme for H264/AVC video transmission overlossy networks. This scheme combines erasure coding, H.264/AVC error resilience techniques and importance measures in videocoding. The unequal importance of the video packets is identifiedin the group of pictures (GOP) and the H.264/AVC data partitioning levels. The presented method can adaptively assign unequal amount of forward error correction (FEC) parity acrossthe video packets according to the network conditions, such as the available network bandwidth, packet loss rate and average packet burst loss length. A near optimal algorithm is developed to dealwith the FEC assignment for optimization. The simulation resultsshow that our scheme can effectively utilize network resources such as bandwidth, while improving the quality of the video transmission. In addition, the proposed ULP strategy ensures graceful degradation of the received video quality as the packet loss rate increases.

Place, publisher, year, edition, pages
Piscataway, NJ, USA: IEEE , 2010. 2471-2477 p.
Keyword [en]
H.264/AVC, Adaptive Unequal Loss Protection, FEC Assignment Optimization
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-56764DOI: 10.1109/CIT.2010.423ISBN: 978-1-4244-7547-6 (print)OAI: diva2:321963
IEEE 10th International Conference on Computer and Information Technology (CIT), Bradford, West Yorkshire, UK, June 29 - July 1 2010
Available from: 2011-08-12 Created: 2010-06-03 Last updated: 2015-03-18Bibliographically approved

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