A recursive optimal relevance feedback scheme for content based image retrieval

Doulamis, N; Doulamis, A

dc.contributor.author	Doulamis, N	en
dc.contributor.author	Doulamis, A	en
dc.date.accessioned	2014-03-01T02:41:40Z
dc.date.available	2014-03-01T02:41:40Z
dc.date.issued	2001	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30591
dc.subject	Computational Complexity	en
dc.subject	Content Based Image Retrieval	en
dc.subject	Information Need	en
dc.subject	Recursive Algorithm	en
dc.subject	Relevance Feedback	en
dc.subject	Similarity Measure	en
dc.subject.other	Algorithms	en
dc.subject.other	Database systems	en
dc.subject.other	Information retrieval systems	en
dc.subject.other	Numerical analysis	en
dc.subject.other	Query languages	en
dc.subject.other	Content based image retrieval system	en
dc.subject.other	Optimal relevance algorithm	en
dc.subject.other	Recursive optimal relevance feedback	en
dc.subject.other	Content based retrieval	en
dc.title	A recursive optimal relevance feedback scheme for content based image retrieval	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICIP.2001.958600	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICIP.2001.958600	en
heal.publicationDate	2001	en
heal.abstract	In this paper, an optimal relevance algorithm is proposed, which adapts the response of a content-based image retrieval (CBIR) system to the user's information needs. In particular, the importance of each descriptor to the similarity measure of the system is estimated so that the correlation between the query image and all images marked by the user as relevant is maximized while simultaneously the correlation over all irrelevant images is minimized. Other degree of relevance can be also included in the proposed scheme. In case that the user applies more than one feedback iterations, a recursive algorithm is instroduced for increasing the system efficiency. Convergence of the proposed scheme is achieved if ""consistent"" relevant and irrelevant images are selected by the user.	en
heal.journalName	IEEE International Conference on Image Processing	en
dc.identifier.doi	10.1109/ICIP.2001.958600	en
dc.identifier.volume	2	en
dc.identifier.spage	741	en
dc.identifier.epage	744	en