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A No-Reference Machine Learning Based Video Quality Predictor
Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
Blekinge Institute of Technology, School of Engineering, Department of Electrical Engineering.
2013 (English)Conference paper, (Refereed)
Abstract [en]

The growing need of quick and online estimation of video quality necessitates the study of new frontiers in the area of no-reference visual quality assessment. Bitstream-layer model based video quality predictors use certain visual quality relevant features from the encoded video bitstream to estimate the quality. Contemporary techniques vary in the number and nature of features employed and the use of prediction model. This paper proposes a prediction model with a concise set of bitstream based features and a machine learning based quality predictor. Several full reference quality metrics are predicted using the proposed model with reasonably good levels of accuracy, monotonicity and consistency.

Place, publisher, year, edition, pages
Klagenfurt am Wörthersee: IEEE , 2013.
Keyword [en]
Video Quality, H.264/AVC, Bitstream Features, No-Reference, Support Vector Machine
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-6686DOI: 10.1109/QoMEX.2013.6603233ISI: 000331828000042Local ID: oai:bth.se:forskinfoF4C25327032FF159C1257BF3002DFA49OAI: oai:DiVA.org:bth-6686DiVA: diva2:834210
Conference
Fifth International Workshop on Quality of Multimedia Experience (QoMEX)
Note

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6603233&isnumber=6603187

Available from: 2014-07-17 Created: 2013-09-27 Last updated: 2016-09-09Bibliographically approved

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Shahid, MuhammadRossholm, AndreasLövström, Benny
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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
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  • nn-NO
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  • Other locale
More languages
Output format
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