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Popularity index through video semantic quality assessment
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems.ORCID iD: 0000-0003-4327-117X
Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems.
2014 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Popularity of the streaming media content such as videos can be ascribed to the perceptual quality, to some extent, of the content. The traditional methods of audio/video quality assessment lack in provision of the input from higher cognitive of the human perception. Some studies have revealed that liking or disliking of a certain content can bias the human judgement towards video quality. In this paper, we have examined the impact of the use of semantic quality indicators namely audio content, audio quality, video content, and video quality in the assessment of quality of a video. Further, we have proposed a methodology to use these indicators for designing a prediction model for the popularity of streaming videos.

Place, publisher, year, edition, pages
IEEE , 2014.
Keyword [en]
Semantic Quality Video Content Video Quality
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-6402DOI: 10.1109/ChinaSIP.2014.6889261ISI: 000366612600071ISBN: 978-1-4799-5401-8 (print)OAI: oai:DiVA.org:bth-6402DiVA: diva2:833906
Conference
Signal and Information Processing, China Summit (ChinaSIP),XIAN
Available from: 2015-03-05 Created: 2015-03-04 Last updated: 2017-03-17Bibliographically approved

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fulltext(203 kB)156 downloads
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Type fulltextMimetype application/pdf

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Shahid, MuhammadKhatibi, SiamakTuemay, Yared
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
  • html
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  • asciidoc
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