An innovative content-based indexing technique with linear response suitable for pervasive environments

Lalos, C; Doulamis, A; Konstanteli, K; Dellias, P; Varvarigou, T

dc.contributor.author	Lalos, C	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Konstanteli, K	en
dc.contributor.author	Dellias, P	en
dc.contributor.author	Varvarigou, T	en
dc.date.accessioned	2014-03-01T02:45:06Z
dc.date.available	2014-03-01T02:45:06Z
dc.date.issued	2008	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/32154
dc.subject	Boolean Operation	en
dc.subject	Computational Complexity	en
dc.subject	content-based indexing	en
dc.subject	Dynamic Environment	en
dc.subject	Indexation	en
dc.subject	Linear Response	en
dc.subject	Pervasive Computing	en
dc.subject.other	Boolean operations	en
dc.subject.other	Cell topology	en
dc.subject.other	Content-based indexing	en
dc.subject.other	Content-based multimedia	en
dc.subject.other	Dynamic environments	en
dc.subject.other	End users	en
dc.subject.other	Image querying	en
dc.subject.other	Linear response	en
dc.subject.other	Multi-media content	en
dc.subject.other	Pervasive Computing	en
dc.subject.other	Pervasive environments	en
dc.subject.other	Response time	en
dc.subject.other	Significant reduction	en
dc.subject.other	Boolean functions	en
dc.subject.other	Chlorine compounds	en
dc.subject.other	Computational complexity	en
dc.subject.other	Image enhancement	en
dc.subject.other	Image segmentation	en
dc.subject.other	Topology	en
dc.subject.other	Ubiquitous computing	en
dc.subject.other	Indexing (of information)	en
dc.title	An innovative content-based indexing technique with linear response suitable for pervasive environments	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/CBMI.2008.4564983	en
heal.identifier.secondary	http://dx.doi.org/10.1109/CBMI.2008.4564983	en
heal.identifier.secondary	4564983	en
heal.publicationDate	2008	en
heal.abstract	In the world of pervasive computing the status of each device (idle or active) could be dynamically altered and multimedia content is added or removed dynamically. The traditional approaches that create static multimedia indices are inappropriate. To address this problem, a new technique for indexing multimedia content in pervasive environments, is proposed. This technique is based on an innovative algorithm that indexes the multimedia content to a uniform representation (M-hyper rectangle), using a cell topology structure. Groups (clusters) with images that share common content are created using the aforementioned cell topology. The resulting representation is used in order to yield a significant reduction of the computational complexity and retrieval response time. More specifically, upon an image query, the groups whose content is the closest to the query are selected and on a later step, the closest images to the query are retrieved from the selected groups and presented to the end user. All comparisons among the stored and query data, as well as the construction of the underlying cluster are performed using Boolean operations, making this method suitable for a highly dynamic environment. ©2008 IEEE.	en
heal.journalName	2008 International Workshop on Content-Based Multimedia Indexing, CBMI 2008, Conference Proceedings	en
dc.identifier.doi	10.1109/CBMI.2008.4564983	en
dc.identifier.spage	462	en
dc.identifier.epage	469	en