QoE modelling for VP9 and H.265 videos on mobile devices

Wei Song; Yao Xiao; Dian Tjondronegoro; Antonio Liotta

doi:10.1145/2733373.2806256

QoE modelling for VP9 and H.265 videos on mobile devices

Wei Song, Yao Xiao, Dian Tjondronegoro, Antonio Liotta

Electro-Optical Communication

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

Abstract

Current mobile devices and streaming video services support high definition (HD) video, increasing expectation for more contents. HD video streaming generally requires large bandwidth, exerting pressures on existing networks. New generation of video compression codecs, such as VP9 and H.265/HEVC, are expected to be more effective for reducing bandwidth. Existing studies to measure the impact of its compression on users' perceived quality have not been focused on mobile devices. Here we propose new Quality of Experience (QoE) models that consider both subjective and objective assessments of mobile video quality. We introduce novel predictors, such as the correlations between video resolution and size of coding unit, and achieve a high goodnessof-fit to the collected subjective assessment data (adjusted Rsquare >83%). The performance analysis shows that H.265 can potentially achieve 44% to 59% bit rate saving compared to H.264/AVC, slightly better than VP9 at 33% to 53%, depending on video content and resolution.

Original language	English
Title of host publication	MM 2015 - Proceedings of the 2015 ACM Multimedia Conference
Publisher	Association for Computing Machinery, Inc
Pages	501-510
Number of pages	10
ISBN (Electronic)	9781450334594
DOIs	https://doi.org/10.1145/2733373.2806256
Publication status	Published - 13 Oct 2015
Event	23rd ACM International Conference on Multimedia, (MM2015) - Brisbane, Australia Duration: 26 Oct 2015 → 30 Oct 2015

Conference

Conference	23rd ACM International Conference on Multimedia, (MM2015)
Abbreviated title	MM2015
Country/Territory	Australia
City	Brisbane
Period	26/10/15 → 30/10/15

Keywords

H.264/AVC
H.265/HEVC
Mobile device.
QoE modeling
Video quality assessment
VP9

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10.1145/2733373.2806256

Cite this

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title = "QoE modelling for VP9 and H.265 videos on mobile devices",

abstract = "Current mobile devices and streaming video services support high definition (HD) video, increasing expectation for more contents. HD video streaming generally requires large bandwidth, exerting pressures on existing networks. New generation of video compression codecs, such as VP9 and H.265/HEVC, are expected to be more effective for reducing bandwidth. Existing studies to measure the impact of its compression on users' perceived quality have not been focused on mobile devices. Here we propose new Quality of Experience (QoE) models that consider both subjective and objective assessments of mobile video quality. We introduce novel predictors, such as the correlations between video resolution and size of coding unit, and achieve a high goodnessof-fit to the collected subjective assessment data (adjusted Rsquare >83%). The performance analysis shows that H.265 can potentially achieve 44% to 59% bit rate saving compared to H.264/AVC, slightly better than VP9 at 33% to 53%, depending on video content and resolution.",

keywords = "H.264/AVC, H.265/HEVC, Mobile device., QoE modeling, Video quality assessment, VP9",

author = "Wei Song and Yao Xiao and Dian Tjondronegoro and Antonio Liotta",

year = "2015",

month = oct,

day = "13",

doi = "10.1145/2733373.2806256",

language = "English",

pages = "501--510",

booktitle = "MM 2015 - Proceedings of the 2015 ACM Multimedia Conference",

publisher = "Association for Computing Machinery, Inc",

address = "United States",

note = "23rd ACM International Conference on Multimedia, (MM2015), MM2015 ; Conference date: 26-10-2015 Through 30-10-2015",

}

Song, W, Xiao, Y, Tjondronegoro, D & Liotta, A 2015, QoE modelling for VP9 and H.265 videos on mobile devices. in MM 2015 - Proceedings of the 2015 ACM Multimedia Conference. Association for Computing Machinery, Inc, pp. 501-510, 23rd ACM International Conference on Multimedia, (MM2015), Brisbane, Queensland, Australia, 26/10/15. https://doi.org/10.1145/2733373.2806256

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AU - Song, Wei

AU - Xiao, Yao

AU - Tjondronegoro, Dian

AU - Liotta, Antonio

PY - 2015/10/13

Y1 - 2015/10/13

N2 - Current mobile devices and streaming video services support high definition (HD) video, increasing expectation for more contents. HD video streaming generally requires large bandwidth, exerting pressures on existing networks. New generation of video compression codecs, such as VP9 and H.265/HEVC, are expected to be more effective for reducing bandwidth. Existing studies to measure the impact of its compression on users' perceived quality have not been focused on mobile devices. Here we propose new Quality of Experience (QoE) models that consider both subjective and objective assessments of mobile video quality. We introduce novel predictors, such as the correlations between video resolution and size of coding unit, and achieve a high goodnessof-fit to the collected subjective assessment data (adjusted Rsquare >83%). The performance analysis shows that H.265 can potentially achieve 44% to 59% bit rate saving compared to H.264/AVC, slightly better than VP9 at 33% to 53%, depending on video content and resolution.

AB - Current mobile devices and streaming video services support high definition (HD) video, increasing expectation for more contents. HD video streaming generally requires large bandwidth, exerting pressures on existing networks. New generation of video compression codecs, such as VP9 and H.265/HEVC, are expected to be more effective for reducing bandwidth. Existing studies to measure the impact of its compression on users' perceived quality have not been focused on mobile devices. Here we propose new Quality of Experience (QoE) models that consider both subjective and objective assessments of mobile video quality. We introduce novel predictors, such as the correlations between video resolution and size of coding unit, and achieve a high goodnessof-fit to the collected subjective assessment data (adjusted Rsquare >83%). The performance analysis shows that H.265 can potentially achieve 44% to 59% bit rate saving compared to H.264/AVC, slightly better than VP9 at 33% to 53%, depending on video content and resolution.

KW - H.264/AVC

KW - H.265/HEVC

KW - Mobile device.

KW - QoE modeling

KW - Video quality assessment

KW - VP9

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M3 - Conference contribution

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BT - MM 2015 - Proceedings of the 2015 ACM Multimedia Conference

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T2 - 23rd ACM International Conference on Multimedia, (MM2015)

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ER -

QoE modelling for VP9 and H.265 videos on mobile devices

Abstract

Conference

Keywords

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