Video Quality Prediction in the Presence of MAC Contention and Wireless Channel Error

Saesue, W; Chou, C; Zhang, J

Video Quality Prediction in the Presence of MAC Contention and Wireless Channel Error

Saesue, W Chou, C Zhang, J

Permalink

Publisher:: IEEE
Publication Type:: Conference
Citation:: Saesue, Werayut, Chou, Chun, and Zhang, Jian 2010, 'Video Quality Prediction in the Presence of MAC Contention and Wireless Channel Error', IEEE, Piscataway, NJ, pp. 1-10.
Issue Date:: 2010

Closed Access

	Filename	Description	Size
	2013007322OK.pdf		519.88 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Saesue, W	en_US
dc.contributor.author	Chou, C	en_US
dc.contributor.author	Zhang, J	en_US
dc.contributor.editor	N/A	en_US
dc.date	20140614	en_US
dc.date.accessioned	2014-10-05T17:06:07Z
dc.date.available	2014-10-05T17:06:07Z
dc.date.issued	2010	en_US
dc.identifier	2013007322	en_US
dc.identifier.citation	Saesue, Werayut, Chou, Chun, and Zhang, Jian 2010, 'Video Quality Prediction in the Presence of MAC Contention and Wireless Channel Error', IEEE, Piscataway, NJ, pp. 1-10.	en_US
dc.identifier.issn	978-1-4244-7264-2	en_US
dc.identifier.other	E1UNSUBMIT	en_US
dc.identifier.uri	http://hdl.handle.net/10453/29987
dc.description.abstract	This paper proposes an integrated model to predict the quality of video, expressed in terms of mean square error (MSE) of the received video frames, in an IEEE 802.1 le wireless network. The proposed system takes into account contention at the MAC layer, wireless channel error, queueing at the MAC layer, parameters of different 802.1 le access categories (ACs), and video characteristics of different H.264 data partitions (DPs). To the best of the authors' knowledge, this is the first system that takes these network and video characteristics into consideration to predict video quality in an IEEE 802.1 le network. The proposed system consists of two components. The first component predicts the packet loss rate of each H.264 data partition by using a multi-dimensional discrete-time Markov chain (DTMC) coupled to a M/G/l queue. The second component uses these packet loss rates and the video characteristics to predict the MSE of each received video frames. We verify the accuracy of our combination system by using discrete event simulation and real H.264 coded video sequences.	en_US
dc.publisher	IEEE	en_US
dc.relation.ispartof	IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)	en_US
dc.relation.ispartof	Verified OK	en_US
dc.rights	© 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.	en_US
dc.subject	N/A	en_US
dc.subject.classification	Distributed Computing	en_US
dc.title	Video Quality Prediction in the Presence of MAC Contention and Wireless Channel Error	en_US
dc.type	Conference
utslib.location	Piscataway, NJ	en_US
utslib.citation.startpage	1	en_US
utslib.citation.endpage	10	en_US
utslib.identifier.org	FEIT.A/DRsch Advanced Analytics Institute	en_US
utslib.for	080500	en_US
utslib.percentage	60	en_US
dc.location.activity	Montreal, Canada	en_US
utslib.copyright.status	closed_access

Abstract:

This paper proposes an integrated model to predict the quality of video, expressed in terms of mean square error (MSE) of the received video frames, in an IEEE 802.1 le wireless network. The proposed system takes into account contention at the MAC layer, wireless channel error, queueing at the MAC layer, parameters of different 802.1 le access categories (ACs), and video characteristics of different H.264 data partitions (DPs). To the best of the authors' knowledge, this is the first system that takes these network and video characteristics into consideration to predict video quality in an IEEE 802.1 le network. The proposed system consists of two components. The first component predicts the packet loss rate of each H.264 data partition by using a multi-dimensional discrete-time Markov chain (DTMC) coupled to a M/G/l queue. The second component uses these packet loss rates and the video characteristics to predict the MSE of each received video frames. We verify the accuracy of our combination system by using discrete event simulation and real H.264 coded video sequences.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/29987