Progressive content-based retrieval using tree-structure graphs

Doulamis, N; Doulamis, A; Kollias, S

dc.contributor.author	Doulamis, N	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:49:00Z
dc.date.available	2014-03-01T02:49:00Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34204
dc.subject	Color Segmentation	en
dc.subject	Content Based Retrieval	en
dc.subject	Image Indexing	en
dc.subject	Image Retrieval	en
dc.subject	Indexing Terms	en
dc.subject	Object Extraction	en
dc.subject	Object Segmentation	en
dc.subject	Spatial Relationships	en
dc.subject	Tree Structure	en
dc.subject	Visual Representation	en
dc.title	Progressive content-based retrieval using tree-structure graphs	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/MELCON.2000.879992	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MELCON.2000.879992	en
heal.publicationDate	2000	en
heal.abstract	An efficient hierarchical visual representation is proposed for progressive content-based image indexing and retrieval. More specifically, the image content is decomposed at different description levels, each of which represents the image at a different content scale. This is implemented by partitioning the image into objects structured in a hierarchical way. The lowest description level is obtained by applying a color	en
heal.journalName	MELECON - IEEE Mediterranean Electrotechnical Conference	en
dc.identifier.doi	10.1109/MELCON.2000.879992	en