Link adaptation based on video quality monitoring for H.264/AVC video transmission over WLANs
Link adaptation algorithms employed by wireless routers traditionally use retransmission to achieve high error-free data throughput. Such methods do not take into account the delay sensitive nature of video data. In this paper, we investigate the use of reduced-reference video quality monitoring...
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iium-539832019-03-04T08:30:32Z http://irep.iium.edu.my/53983/ Link adaptation based on video quality monitoring for H.264/AVC video transmission over WLANs Abdul Rahman, Farah Diyana Agrafiotis, Dimitris T Technology (General) Link adaptation algorithms employed by wireless routers traditionally use retransmission to achieve high error-free data throughput. Such methods do not take into account the delay sensitive nature of video data. In this paper, we investigate the use of reduced-reference video quality monitoring for video oriented link adaptation. Estimation of the quality degradation due to channel errors is performed at the receiver side using the NoReference video quality Monitoring metric. The estimates are sent to the encoder side where, combined with mean squared error values for the encoded video, they form a reduced reference metric that gives information about the quality of the video at the receiver. Link adaptation is then performed using this reduced reference metric. IEEE 2016 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/53983/7/53983.pdf application/pdf en http://irep.iium.edu.my/53983/8/53983-Link%20adaptation%20based%20on%20video%20quality%20monitoring_SCOPUS.pdf Abdul Rahman, Farah Diyana and Agrafiotis, Dimitris (2016) Link adaptation based on video quality monitoring for H.264/AVC video transmission over WLANs. In: 6th International Conference on Computer and Communication Engineering (ICCCE 2016), 25th-27th July 2016, Kuala Lumpur. http://ieeexplore.ieee.org/document/7808325/ 10.1109/ICCCE.2016.67 |
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T Technology (General) Abdul Rahman, Farah Diyana Agrafiotis, Dimitris Link adaptation based on video quality monitoring for H.264/AVC video transmission over WLANs |
description |
Link adaptation algorithms employed by wireless
routers traditionally use retransmission to achieve high error-free
data throughput. Such methods do not take into account the delay
sensitive nature of video data. In this paper, we investigate the use
of reduced-reference video quality monitoring for video oriented
link adaptation. Estimation of the quality degradation due to
channel errors is performed at the receiver side using the NoReference
video quality Monitoring metric. The estimates are sent
to the encoder side where, combined with mean squared error
values for the encoded video, they form a reduced reference metric
that gives information about the quality of the video at the
receiver. Link adaptation is then performed using this reduced
reference metric. |
format |
Conference or Workshop Item |
author |
Abdul Rahman, Farah Diyana Agrafiotis, Dimitris |
author_facet |
Abdul Rahman, Farah Diyana Agrafiotis, Dimitris |
author_sort |
Abdul Rahman, Farah Diyana |
title |
Link adaptation based on video quality monitoring for H.264/AVC video transmission over WLANs |
title_short |
Link adaptation based on video quality monitoring for H.264/AVC video transmission over WLANs |
title_full |
Link adaptation based on video quality monitoring for H.264/AVC video transmission over WLANs |
title_fullStr |
Link adaptation based on video quality monitoring for H.264/AVC video transmission over WLANs |
title_full_unstemmed |
Link adaptation based on video quality monitoring for H.264/AVC video transmission over WLANs |
title_sort |
link adaptation based on video quality monitoring for h.264/avc video transmission over wlans |
publisher |
IEEE |
publishDate |
2016 |
url |
http://irep.iium.edu.my/53983/ http://irep.iium.edu.my/53983/ http://irep.iium.edu.my/53983/ http://irep.iium.edu.my/53983/7/53983.pdf http://irep.iium.edu.my/53983/8/53983-Link%20adaptation%20based%20on%20video%20quality%20monitoring_SCOPUS.pdf |
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2023-09-18T21:16:22Z |
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2023-09-18T21:16:22Z |
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