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Proceedings Paper

Video quality assessment based on data hiding driven by optical flow information
Author(s): Mylene C. Q. Farias; Marco Carli; Alessandro Neri; Sanjit K Mitra
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Paper Abstract

In this paper, a new no reference metric for video quality assessment is presented. The proposed metric provides a measure of the quality of a video based on a feature that we believe is relevant for the human observers: the motion. The metric is based on an unconventional use of a data hiding system. The mark is inserted in specific areas of the video using a fragile embedding algorithm. The exact embedding location is determined by the amount of motion between pairs of consecutive frames. The mark is embedded exclusively into 'moving areas' of the video. At the receiver, the mark is extracted from the decoded video and a quality measure of the video is estimated by evaluating the degradation of the extracted mark. Simulation results indicate that the proposed quality metric is able to assess the quality of videos degraded by compression.

Paper Details

Date Published: 18 December 2003
PDF: 11 pages
Proc. SPIE 5294, Image Quality and System Performance, (18 December 2003); doi: 10.1117/12.527792
Show Author Affiliations
Mylene C. Q. Farias, Univ. of California/Santa Barbara (United States)
Marco Carli, Univ. degli Studi di Roma Tre (Italy)
Alessandro Neri, Univ. degli Studi di Roma Tre (Italy)
Sanjit K Mitra, Univ. of California/Santa Barbara (United States)

Published in SPIE Proceedings Vol. 5294:
Image Quality and System Performance
Yoichi Miyake; D. Rene Rasmussen, Editor(s)

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