Towards an efficient model of visual saliency for objective image quality assessment

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

5 Citaten (Scopus)

Samenvatting

Based on "ground truth" eye-tracking data, earlier research [1] shows that adding natural scene saliency (NSS) can improve an objective metric's performance in predicting perceived image quality. To include NSS in a real-world implementation of an objective metric, a computational model instead of eye-tracking data is needed. Existing models of visual saliency are generally designed for a specific domain, and so, not applicable to image quality prediction. In this paper, we propose an efficient model for NSS, inspired by findings from our eye-tracking studies. Experimental results show that the proposed model sufficiently captures the saliency of the eye-tracking data, and applying the model to objective image quality metrics enhances their performance in the same manner as when including eye-tracking data. © 2012 IEEE.
Originele taal-2Engels
Titel2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP, 25-30 March 2012, Kyoto
Plaats van productiePiscataway
Pagina's1153-1156
Aantal pagina's4
ISBN van elektronische versie978-1-4673-0046-9
DOI's
StatusGepubliceerd - 2012
Extern gepubliceerdJa
Evenement2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012) - Kyoto, Japan
Duur: 25 mrt 201230 mrt 2012

Congres

Congres2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012)
Verkorte titelICASSP 2012
LandJapan
StadKyoto
Periode25/03/1230/03/12
Ander2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

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