MULTI-RESOLUTION MULTIMEDIA QOE MODELS FOR IPTV APPLICATIONS

MULTI-RESOLUTION MULTIMEDIA QOE MODELS FOR IPTV APPLICATIONS

Bibliographic Details
Main Author: Chandrasekaran, Prashanth
Language:English
Published: The Ohio State University / OhioLINK 2009
Subjects:
Computer Science
IPTV
audiovisual quality
objective QoE metrics
router queuing disciplines
performance sampling
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=osu1243613011
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-osu12436130112021-08-03T05:56:05Z MULTI-RESOLUTION MULTIMEDIA QOE MODELS FOR IPTV APPLICATIONS Chandrasekaran, Prashanth Computer Science IPTV audiovisual quality objective QoE metrics router queuing disciplines performance sampling <p>Internet television (IPTV) is rapidly gaining popularity and is being widely deployed on the Internet. In order to pro-actively deliver optimum user Quality of Experience (QoE), service providers need to identify network bottlenecks in real-time and assess their impact on the audio and video quality degradation. While doing so, they cannot rely on actual end-users to report their subjective QoE of audio-visual quality. Also, they cannot rely on computationally intensive objective techniques that involve frame-to-frame Peak-Signal-to-Noise Ratio (PSNR) comparisons of original and re-constructed video sequences. In this thesis, psycho-acoustic-visual models that can predict user QoE of multimedia applications in real-time based on online network status measurements are developed and evaluated. These models cater to multi-resolution IPTV applications that include QCIF, QVGA, SD and HD resolutions encoded using popular audio and video codec combinations.</p><p> On the network side, the models account for jitter and loss levels, as well as router queuing disciplines: Packet-ordered and Time-ordered first-in-first-out (FIFO). The performance of the multi-resolution multimedia QoE models is evaluated in terms of prediction characteristics, accuracy, consistency and speed. The evaluation results demonstrate that the models are pertinent for: (a) continuous multimedia QoE monitoring, and (b) real- time adaptation of system and network resources, in small-to-large scale deployments of IPTV on the Internet.</p> 2009 English text The Ohio State University / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=osu1243613011 http://rave.ohiolink.edu/etdc/view?acc_num=osu1243613011 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Computer Science
IPTV
audiovisual quality
objective QoE metrics
router queuing disciplines
performance sampling
spellingShingle Computer Science
IPTV
audiovisual quality
objective QoE metrics
router queuing disciplines
performance sampling
Chandrasekaran, Prashanth
MULTI-RESOLUTION MULTIMEDIA QOE MODELS FOR IPTV APPLICATIONS
author Chandrasekaran, Prashanth
author_facet Chandrasekaran, Prashanth
author_sort Chandrasekaran, Prashanth
title MULTI-RESOLUTION MULTIMEDIA QOE MODELS FOR IPTV APPLICATIONS
title_short MULTI-RESOLUTION MULTIMEDIA QOE MODELS FOR IPTV APPLICATIONS
title_full MULTI-RESOLUTION MULTIMEDIA QOE MODELS FOR IPTV APPLICATIONS
title_fullStr MULTI-RESOLUTION MULTIMEDIA QOE MODELS FOR IPTV APPLICATIONS
title_full_unstemmed MULTI-RESOLUTION MULTIMEDIA QOE MODELS FOR IPTV APPLICATIONS
title_sort multi-resolution multimedia qoe models for iptv applications
publisher The Ohio State University / OhioLINK
publishDate 2009
url http://rave.ohiolink.edu/etdc/view?acc_num=osu1243613011
work_keys_str_mv AT chandrasekaranprashanth multiresolutionmultimediaqoemodelsforiptvapplications
_version_ 1719428047160999936

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