Data-partitioned video streaming scheme for broadband WiMAX

Al-Majeed, Salah ORCID: 0000-0002-5932-9658, Fleury, Martin, Al-Jobouri, Laith and Ghanbari, Mohammed (2010) Data-partitioned video streaming scheme for broadband WiMAX. In: The 2010 IEEE symposium on Computers and Communications, 22-25 June, Riccione, Italy. ISSN 1530-1346 ISBN 978-1-4244-7755-5

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Abstract

Data partitioning is a way of separating out data from a compressed bitstream according to its importance in reconstructing a video stream. This paper notices that this procedure also results in relatively smaller packets for more important data if the quantization parameter (QP) is set accordingly. Raptor channel coding is then applied and the quality of the video is improved by distributing a significant proportion of intra-coded macroblocks within predictively coded frames. When this scheme is applied to an IEEE 802.16e (mobile WiMAX) system, according to frame size a number of trade-offs arise in respect to balancing the number of packet drops, corrupted packets through channel conditions, overall video quality, and data latency.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords:	Streaming Media; WiMAX; Decoding; Encoding; Automatic Repeat Request; Delay; Complexity Theory
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Kate Greenaway
Date Deposited:	08 Nov 2018 13:44
Last Modified:	31 Aug 2023 08:01
URI:	https://eprints.glos.ac.uk/id/eprint/6134

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