DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorKollias, Stefanos-
dc.contributor.authorMoschovitis, G.-
dc.contributor.authorKarpouzis, Kostas-
dc.contributor.authorIoannou, S.-
dc.date.accessioned2024-07-31T12:36:54Z-
dc.date.available2024-07-31T12:36:54Z-
dc.date.issued2004-03-01-
dc.identifierscopus-1842639007-
dc.identifier.issn1380-7501-
dc.identifier.other1842639007-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2770-
dc.description.abstractCurrent 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_US
dc.language.isoenen_US
dc.relation.ispartofMultimedia Tools and Applicationsen_US
dc.subjectDynamic searchen_US
dc.subjectMultimedia databasesen_US
dc.subjectQuery expansionen_US
dc.subjectUser profilingen_US
dc.subjectVideo summarizationen_US
dc.subjectWeb accessen_US
dc.titleWeb Access to Large Audiovisual Assets Based on User Preferencesen_US
dc.typeArticleen_US
dc.identifier.doi10.1023/B:MTAP.0000017029.79209.7ben_US
dc.identifier.scopus2-s2.0-1842639007-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.relation.volume22en_US
dc.relation.issue3en_US
dc.identifier.spage215en_US
dc.identifier.epage234en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusverifieden_US
item.openairetypeArticle-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
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