Spatio-temporal salience based video quality assessment

Gao, X; Liu, N; Lu, W; Tao, D; Li, X

Spatio-temporal salience based video quality assessment

Gao, X Liu, N Lu, W Tao, D

Li, X

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Publication Type:: Conference Proceeding
Citation:: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2010, pp. 1501 - 1505
Issue Date:: 2010-12-01

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Field	Value	Language
dc.contributor.author	Gao, X	en_US
dc.contributor.author	Liu, N	en_US
dc.contributor.author	Lu, W	en_US
dc.contributor.author	Tao, D https://orcid.org/0000-0001-7225-5449	en_US
dc.contributor.author	Li, X	en_US
dc.date.issued	2010-12-01	en_US
dc.identifier.citation	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2010, pp. 1501 - 1505	en_US
dc.identifier.isbn	9781424465880	en_US
dc.identifier.issn	1062-922X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/17279
dc.description.abstract	It is important to design an effective and efficient objective metric of the video quality in video processing areas. The most reliable way is subjective evaluation, thus the most reasonable objective metric should adequately consider characteristics of the human visual system (HVS). Visual attention (VA) is one of the essential visual phenomena of HVS, the realization of which relies on the saliency of visual field. Moreover, the saliency of visual field has a great influence on recognition, memorization and subjective evaluation of the image. This paper explores the saliency of visual field for objective quality assessment of videos. The proposed method first uses the VA model to obtain visual saliency map of the distorted video, including color, intensity and motion. Then the salient map is used to weight a structural similarity map between the original and distorted videos to get the final value of the video quality. Experimental results prove that the proposed method achieves a good correlation with subjective valuation. ©2010 IEEE.	en_US
dc.relation.ispartof	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics	en_US
dc.relation.isbasedon	10.1109/ICSMC.2010.5642429	en_US
dc.title	Spatio-temporal salience based video quality assessment	en_US
dc.type	Conference Proceeding
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Istanbul, Turkey	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

It is important to design an effective and efficient objective metric of the video quality in video processing areas. The most reliable way is subjective evaluation, thus the most reasonable objective metric should adequately consider characteristics of the human visual system (HVS). Visual attention (VA) is one of the essential visual phenomena of HVS, the realization of which relies on the saliency of visual field. Moreover, the saliency of visual field has a great influence on recognition, memorization and subjective evaluation of the image. This paper explores the saliency of visual field for objective quality assessment of videos. The proposed method first uses the VA model to obtain visual saliency map of the distorted video, including color, intensity and motion. Then the salient map is used to weight a structural similarity map between the original and distorted videos to get the final value of the video quality. Experimental results prove that the proposed method achieves a good correlation with subjective valuation. ©2010 IEEE.

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