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Proceedings Paper

A video quality assessment model based on the MPEG-7 descriptor
Author(s): Masaharu Sato; Yuukou Horita
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Paper Abstract

Our research is focused on examining the video quality assessment model based on the MPEG-7 descriptor. This model consists of two parts: "Frame Quality estimation processing" and "Video Quality estimation processing". The estimation of Video Quality in the proposed model uses five values (average value, worst value, best value, standard deviation and frame rate) from the estimation Frame Quality and the input video sequence. Two coding methods (WMV9 and H.264) are used to verify the proposed model's presumption accuracy. As a result, Video Quality estimation has a high presumption accuracy (correlation : 0.94, average error : 0.20, maximum error : 0.68 and outlier ratio : 0.23).

Paper Details

Date Published: 24 January 2011
PDF: 11 pages
Proc. SPIE 7867, Image Quality and System Performance VIII, 786711 (24 January 2011); doi: 10.1117/12.872282
Show Author Affiliations
Masaharu Sato, Univ. of Toyama (Japan)
Yuukou Horita, Univ. of Toyama (Japan)


Published in SPIE Proceedings Vol. 7867:
Image Quality and System Performance VIII
Susan P. Farnand; Frans Gaykema, Editor(s)

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