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Predicting full-reference video quality measures using HEVC bitstream-based no-reference features
Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
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2015 (English)In: International Workshop on Quality of Multimedia Experience, IEEE Communications Society, 2015, Vol. Article number 7148118Conference paper (Refereed)
Abstract [en]

This paper presents bitstream-based features for perceptual quality estimation of HEVC coded videos. Various factors including the impact of different sizes of block-partitions, use of reference-frames, the relative amount of various prediction modes, statistics of motion vectors and quantization parameters are taken into consideration for producing 52 features relevant for perceptual quality prediction. The used test stimuli constitutes 560 bitstreams that have been carefully extracted for this analysis from the 59, 520 bistreams of the large-scale database generated by the Joint Effort Group (JEG) of the Video Quality Experts Group (VQEG). The obtained results show the significance of the considered features through reasonably accurate and monotonic prediction of a number of objective quality metrics. © 2015 IEEE.

Place, publisher, year, edition, pages
IEEE Communications Society, 2015. Vol. Article number 7148118
Series
International Workshop on Quality of Multimedia Experience, ISSN 2372-7179
Keyword [en]
Binary sequences; Multimedia systems, Bit stream; HEVC; Large-scale database; No reference methods; Objective qualities; Quantization parameters; Video quality assessment; Video quality experts groups, Forecasting
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:bth-10630DOI: 10.1109/QoMEX.2015.7148118ISI: 000375091800039ScopusID: 2-s2.0-84939503927ISBN: 978-147998958-4OAI: oai:DiVA.org:bth-10630DiVA: diva2:854780
Conference
7th International Workshop on Quality of Multimedia Experience, QoMEX 2015; Costa Navarino, Messinia; Greece
Available from: 2015-09-17 Created: 2015-09-15 Last updated: 2016-09-08Bibliographically approved

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Shahid, MuhammadLövström, Benny
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