Web Access to Large Audiovisual Assets Based on User Preferences

Karpouzis, K; Moschovitis, O; Ntalianis, K; Ioannou, S; Kollias, S

dc.contributor.author	Karpouzis, K	en
dc.contributor.author	Moschovitis, O	en
dc.contributor.author	Ntalianis, K	en
dc.contributor.author	Ioannou, S	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T01:21:41Z
dc.date.available	2014-03-01T01:21:41Z
dc.date.issued	2004	en
dc.identifier.issn	1380-7501	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/16320
dc.subject	Dynamic search	en
dc.subject	Multimedia databases	en
dc.subject	Query expansion	en
dc.subject	User profiling	en
dc.subject	Video summarization	en
dc.subject	Web access	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.subject.classification	Computer Science, Theory & Methods	en
dc.subject.classification	Engineering, Electrical & Electronic	en
dc.subject.other	Audio systems	en
dc.subject.other	Database systems	en
dc.subject.other	Information retrieval	en
dc.subject.other	Metadata	en
dc.subject.other	Multimedia systems	en
dc.subject.other	Online searching	en
dc.subject.other	Query languages	en
dc.subject.other	User interfaces	en
dc.subject.other	Visual communication	en
dc.subject.other	Dynamic search	en
dc.subject.other	Multimedia databases	en
dc.subject.other	Query expansion	en
dc.subject.other	User profiling	en
dc.subject.other	Video summarization	en
dc.subject.other	Web access	en
dc.subject.other	World Wide Web	en
dc.title	Web Access to Large Audiovisual Assets Based on User Preferences	en
heal.type	journalArticle	en
heal.identifier.primary	10.1023/B:MTAP.0000017029.79209.7b	en
heal.identifier.secondary	http://dx.doi.org/10.1023/B:MTAP.0000017029.79209.7b	en
heal.language	English	en
heal.publicationDate	2004	en
heal.abstract	Current multimedia databases contain a wealth of information in the form of audiovisual as well as text data. Even though efficient search algorithms have been developed for either media, there still exists the need for abstract presentation and summarization of the results of database users' queries. Moreover, multimedia retrieval systems should be capable of providing the user with additional information related to the specific subject of the query, as well as suggest other topics which could be identified to attract the interest of users with a similar profile. In this paper, we present solutions to these issues, giving as an example an integrated architecture we have developed, along with notions that support efficient and secure Internet access to audiovisual/video databases. Segmentation of each video in shots is followed by shot classification in a number of predetermined categories. Generation of users' profiles according to the categories, enhanced by relevance feedback, permits an efficient presentation of retrieved video shots or characteristic frames in terms of the user interest in them. Moreover, this clustering scheme assists the notion of 'lateral' links that enable the user to continue retrieval with data of similar nature or content to those already returned. Furthermore, user groups are formed and modeled by registering actual preferences and practices. This enables the system to 'predict' information that is possibly relevant to the user's interest and present it along with the returned results. The concepts utilized in this system can be smoothly integrated in MPEG-7 compatible multimedia database systems.	en
heal.publisher	KLUWER ACADEMIC PUBL	en
heal.journalName	Multimedia Tools and Applications	en
dc.identifier.doi	10.1023/B:MTAP.0000017029.79209.7b	en
dc.identifier.isi	ISI:000189139200001	en
dc.identifier.volume	22	en
dc.identifier.issue	3	en
dc.identifier.spage	215	en
dc.identifier.epage	234	en