Flexible Content Extraction and Querying for Videos

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dc.authoridKoyuncu, Murat/0000-0003-1958-5945
dc.authoridYAZICI, Adnan/0000-0001-9404-9494
dc.authoridSERT, Mustafa/0000-0002-7056-4245
dc.authorwosidSERT, Mustafa/AAB-8673-2019
dc.authorwosidKoyuncu, Murat/C-9407-2017
dc.authorwosidSERT, Mustafa/D-3080-2015
dc.contributor.authorKoyuncu, Murat
dc.contributor.authorKoyuncu, Murat
dc.contributor.authorYazici, Adnan
dc.contributor.authorYilmaz, Turgay
dc.contributor.authorSert, Mustafa
dc.contributor.otherInformation Systems Engineering
dc.date.accessioned2024-10-06T10:56:12Z
dc.date.available2024-10-06T10:56:12Z
dc.date.issued2011
dc.departmentAtılım Universityen_US
dc.department-temp[Demir, Utku; Yazici, Adnan; Yilmaz, Turgay] Middle E Tech Univ, Dept Comp Engn, TR-06531 Ankara, Turkey; [Koyuncu, Murat] Atilim Univ, Dept Informat Syst Engn, Ankara, Turkey; [Sert, Mustafa] Baskent Univ, Dept Comp Engn, Ankara, Turkeyen_US
dc.descriptionKoyuncu, Murat/0000-0003-1958-5945; YAZICI, Adnan/0000-0001-9404-9494; SERT, Mustafa/0000-0002-7056-4245en_US
dc.description.abstractIn this study, a multimedia database system which includes a semantic content extractor, a high-dimensional index structure and an intelligent fuzzy object-oriented database component is proposed. The proposed system is realized by following a component-oriented approach. It supports different flexible query capabilities for the requirements of video users, which is the main focus of this paper. The query performance of the system (including automatic semantic content extraction) is tested and analyzed in terms of speed and accuracy.en_US
dc.description.sponsorshipTUBITAK EEEAG [109E014]en_US
dc.description.sponsorshipThis work is supported in part by a research grant from TUBITAK EEEAG with grant number 109E014.en_US
dc.description.woscitationindexConference Proceedings Citation Index - Science
dc.identifier.citation3
dc.identifier.doi[WOS-DOI-BELIRLENECEK-391]
dc.identifier.endpage+en_US
dc.identifier.isbn9783642247637
dc.identifier.issn0302-9743
dc.identifier.issn1611-3349
dc.identifier.scopusqualityQ3
dc.identifier.startpage460en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14411/8543
dc.identifier.volume7022en_US
dc.identifier.wosWOS:000304027800040
dc.identifier.wosqualityN/A
dc.language.isoenen_US
dc.publisherSpringer-verlag Berlinen_US
dc.relation.ispartof9th International Conference on Flexible Query Answering Systems (FQAS 2011) -- OCT 26-28, 2011 -- Ghent, BELGIUMen_US
dc.relation.ispartofseriesLecture Notes in Artificial Intelligence
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMultimedia databaseen_US
dc.subjectfuzzinessen_US
dc.subjectcontent-based retrievalen_US
dc.subjectmultimedia queryingen_US
dc.titleFlexible Content Extraction and Querying for Videosen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication948643aa-7723-4c65-8da8-fcc884405cd1
relation.isAuthorOfPublication.latestForDiscovery948643aa-7723-4c65-8da8-fcc884405cd1
relation.isOrgUnitOfPublicationcf0fb36c-0500-438e-b4cc-ad1d4ef25579
relation.isOrgUnitOfPublication.latestForDiscoverycf0fb36c-0500-438e-b4cc-ad1d4ef25579

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