An efficient graph representation for image retrieval based on color composition

Xirouhakis, Y; Tirakis, A; Delopoulos, A

dc.contributor.author	Xirouhakis, Y	en
dc.contributor.author	Tirakis, A	en
dc.contributor.author	Delopoulos, A	en
dc.date.accessioned	2014-03-01T01:48:31Z
dc.date.available	2014-03-01T01:48:31Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25497
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-0006700280&partnerID=40&md5=21c4301da54d285844eb3c609e232daf	en
dc.subject	Color composition	en
dc.subject	Color segmentation	en
dc.subject	Content-based indexing and retrieval	en
dc.subject	Graph representation	en
dc.subject.other	Database systems	en
dc.subject.other	Graph theory	en
dc.subject.other	Information retrieval	en
dc.subject.other	Metadata	en
dc.subject.other	Multimedia systems	en
dc.subject.other	Television broadcasting	en
dc.subject.other	Web browsers	en
dc.subject.other	Color composition	en
dc.subject.other	Color segmentation	en
dc.subject.other	Graph representations	en
dc.subject.other	Texture composition	en
dc.subject.other	Content based retrieval	en
dc.title	An efficient graph representation for image retrieval based on color composition	en
heal.type	journalArticle	en
heal.publicationDate	1999	en
heal.abstract	Content-based video/image indexing and retrieval is of paramount importance in modern multimedia applications mainly due to the large amount of information involved. Querying by visual example, where the user provides an example image, and querying by sketch, employing user-constructed sketches, are important options in such systems. Prototype systems providing content-based image query and retrieval capabilities have been reported in literature, enabling efficient browsing in multimedia databases. In these systems, content information is modeled in terms of color, texture and shape attributes. However, existing techniques on image similarity retrieval, based on general color attributes, as well as localized color, have generally proved not to yield adequate results. Present work focuses on the extraction of image features in terms of their color composition information using a graph-based approach. This approach inherently captures local color information, and provides improved results in both the case of seeking images similar to an example image and the case of images containing a part similar to the image at hand. Experiments have been included to verify the efficiency of the algorithm. The proposed technique is evaluated in the framework of the Esprit project under development DiVAN.	en
heal.publisher	World Scientific and Engineering Academy and Society	en
heal.journalName	Advances in Intelligent Systems and Computer Science	en
dc.identifier.spage	336	en
dc.identifier.epage	341	en