Context-aware saliency detection

We propose a new type of saliency—context-aware saliency—which aims at detecting the image regions that represent the scene. This definition differs from previous definitions whose goal is to either identify fixation points or detect the dominant object. In accordance with our saliency definition, w...

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Détails bibliographiques
Publié dans:IEEE transactions on pattern analysis and machine intelligence. - 1979. - 34(2012), 10 vom: 01. Okt., Seite 1915-26
Auteur principal: Goferman, Stas (Auteur)
Autres auteurs: Zelnik-Manor, Lihi, Tal, Ayellet
Format: Article en ligne
Langue:English
Publié: 2012
Accès à la collection:IEEE transactions on pattern analysis and machine intelligence
Sujets:Journal Article Research Support, Non-U.S. Gov't
Description
Résumé:We propose a new type of saliency—context-aware saliency—which aims at detecting the image regions that represent the scene. This definition differs from previous definitions whose goal is to either identify fixation points or detect the dominant object. In accordance with our saliency definition, we present a detection algorithm which is based on four principles observed in the psychological literature. The benefits of the proposed approach are evaluated in two applications where the context of the dominant objects is just as essential as the objects themselves. In image retargeting, we demonstrate that using our saliency prevents distortions in the important regions. In summarization, we show that our saliency helps to produce compact, appealing, and informative summaries
Description:Date Completed 04.03.2013
Date Revised 05.12.2012
published: Print
Citation Status MEDLINE
ISSN:1939-3539