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dc.contributor.authorΜπώκος, Γιώργος Δ.el_GR
dc.contributor.authorΒαιούλης, Φώτιοςel_GR
dc.contributor.authorΠούλος, Μάριος Σ.el_GR
dc.contributor.authorΑλεξανδρής, Νικόλαος Α.el_GR
dc.contributor.authorVaioulis, Fotiosen
dc.contributor.authorPoulos, Marios S.en
dc.contributor.authorAlexandris, Nikolaos A.en
dc.contributor.authorBokos, George D.en
dc.date.available2014-01-07T08:53:22Z
dc.date.issued2005
dc.identifier.issn17900832
dc.identifier.urihttp://hdl.handle.net/10797/13632
dc.descriptionΠεριέχει τη περίληψηel_GR
dc.description.abstractIn this paper we faced the problem of main subject detection of an image. We used a method called Composition-Guided Image Acquisition in order to get a mask around the main subject of the image. Then we cropped an area of the original image creating a new much smaller image. This area is defined as a rectangle into the mask of the main subject. Finally we use the new image as input to the Normalized Cuts method in order to get a new image with a red line around the main subject of the original image. We show that our method improves dramatically the task of detecting the main subject of an image comparing it with the use only of the Normalized Cuts method.el_GR
dc.language.isoengen
dc.rightsinfo:eu-repo/semantics/openAccessen
dc.sourceVolume 2, Issue 9, September 2005, Pages 1415-1419en
dc.sourceScopusen
dc.source.urihttp://www.scopus.com/record/display.url?eid=2-s2.0-24644506318&origin=resultslist&sort=plf-f&src=s&st1=bokos%2cg&sid=6F20ED94931255932E7DFA8BB335D067.WlW7NKKC52nnQNxjqAQrlA%3a140&sot=b&sdt=b&sl=20&s=AUTHOR-NAME%28bokos%2cg%29&relpos=15&relpos=15&citeCnt=0&searchTerm=AUTHOR-NAME%28bokos%2Cg%29#en
dc.titleMain subject detection of image by cropping specific sharp areaen
dc.typeArticleen
dc.subject.uncontrolledtermImage segmentationen
dc.subject.uncontrolledtermMain subject detectionen
dc.subject.JITAΔιαχείριση υπηρεσιών, λειτουργιών και τεχνικών πληροφόρησης, Συστήματα εικόνωνel_GR
dc.subject.JITAInformation treatment for information services, Information functions and techniques, Image systemsen
dc.identifier.JITAIHen


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