Performance assessment of the quality-oriented adaptation scheme

Gabriel Miro Muntean; Philip Perry; Liam Murphy

Performance assessment of the quality-oriented adaptation scheme

Gabriel Miro Muntean, Philip Perry, Liam Murphy

Research output: Contribution to journal › Article › peer-review

Abstract

This paper focuses on the experimental performance assessment of the Quality-Oriented Adaptation Scheme (QOAS) when used for streaming high quality multimedia-based services via local broadband IP networks. Results of objective tests using a QOAS simulation model show very efficient adaptation in terms of end-user perceived quality, loss rate, and bandwidth utilization, compared to existing adaptive streaming schemes such as LDA+ and TFRCP. Subjective tests confirm these results by showing high end-user perceived quality of the QOAS under various network conditions.

Original language	English
Pages (from-to)	50-62
Number of pages	13
Journal	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	3271
Publication status	Published (in print/issue) - 1 Dec 2004

Cite this

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abstract = "This paper focuses on the experimental performance assessment of the Quality-Oriented Adaptation Scheme (QOAS) when used for streaming high quality multimedia-based services via local broadband IP networks. Results of objective tests using a QOAS simulation model show very efficient adaptation in terms of end-user perceived quality, loss rate, and bandwidth utilization, compared to existing adaptive streaming schemes such as LDA+ and TFRCP. Subjective tests confirm these results by showing high end-user perceived quality of the QOAS under various network conditions.",

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AB - This paper focuses on the experimental performance assessment of the Quality-Oriented Adaptation Scheme (QOAS) when used for streaming high quality multimedia-based services via local broadband IP networks. Results of objective tests using a QOAS simulation model show very efficient adaptation in terms of end-user perceived quality, loss rate, and bandwidth utilization, compared to existing adaptive streaming schemes such as LDA+ and TFRCP. Subjective tests confirm these results by showing high end-user perceived quality of the QOAS under various network conditions.

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JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Performance assessment of the quality-oriented adaptation scheme

Abstract

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