DC FieldValueLanguage
dc.contributor.authorNtalianis, Klimis-
dc.contributor.authorKollias, Stefanos-
dc.contributor.authorKarpouzis, Kostas-
dc.contributor.authorIoannou, S.-
dc.contributor.authorMoschovitis, Georgios-
dc.date.accessioned2024-10-10T08:24:22Z-
dc.date.available2024-10-10T08:24:22Z-
dc.date.issued2000-11-04-
dc.identifierscopus-85002804591-
dc.identifier.isbn978-1-58113-311-0-
dc.identifier.other85002804591-
dc.identifier.urihttps://uniwacris.uniwa.gr/handle/3000/2807-
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 users with a similar profile are interested in. In this paper, we present a number of solutions to these issues, giving as an example an integrated architecture we have developed, along with notions that support efficient and secure Internet access and easy addition of new material. Segmentation of the video in shots is followed by shot classification in a number of predetermined categories. Generation of users' profiles according to the same categories, enhanced by relevance feedback, permits an efficient presentation of the 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 specific users 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 '00: Proceedings of the 2000 ACM workshops on Multimediaen_US
dc.subjectMultimedia databasesen_US
dc.subjectQuery expansionen_US
dc.subjectText-based searchen_US
dc.subjectUser profilingen_US
dc.subjectWeb accessen_US
dc.titleEffective access to large audiovisual assets based on user preferencesen_US
dc.typeConference Paperen_US
dc.relation.conferenceMM00: ACM Multimedia 2000, 30 October - 3 November 2000, Los Angeles, California, USAen_US
dc.identifier.doi10.1145/357744.357948en_US
dc.identifier.scopus2-s2.0-85002804591-
dcterms.accessRights0en_US
dc.relation.deptDepartment of Business Administrationen_US
dc.relation.facultySchool of Administrative, Economics and Social Sciencesen_US
dc.identifier.spage227en_US
dc.identifier.epage232en_US
dc.collaborationUniversity of West Attica (UNIWA)en_US
dc.subject.fieldEngineering and Technologyen_US
dc.journalsOpen Accessen_US
dc.publicationPeer Revieweden_US
dc.countryGreeceen_US
local.metadatastatusnot verifieden_US
item.fulltextNo Fulltext-
item.languageiso639-1en-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairetypeConference Paper-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.deptDepartment of Business Administration-
crisitem.author.facultySchool of Administrative, Economics and Social Sciences-
crisitem.author.parentorgSchool of Administrative, Economics and Social Sciences-
Appears in Collections:Book Chapter / Κεφάλαιο Βιβλίου
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