Publication:
iAutoMotion- an autonomous content-based video retrieval engine

dc.conference.dateJAN 4-6, 2016
dc.conference.locationMiami, United States
dc.conference.organizer22nd International Conference on MultiMedia Modeling, MMM 2016
dc.contributor.coauthorRossetto, Luca
dc.contributor.coauthorGiangreco, Ivan
dc.contributor.coauthorTanase, Claudiu
dc.contributor.coauthorSchuldt, Heiko
dc.contributor.coauthorDupont, Stephane
dc.contributor.coauthorSeddati, Omar
dc.contributor.departmentIntelligent User Interfaces Laboratory
dc.contributor.facultymemberYes
dc.contributor.kuauthorSahillioğlu, Yusuf
dc.contributor.kuauthorSezgin, Tevfik Metin
dc.contributor.schoolcollegeinstituteLaboratory
dc.date.accessioned2024-11-09T22:53:48Z
dc.date.issued2016
dc.description.abstractThis paper introduces iAutoMotion, an autonomous video retrieval system that requires only minimal user input. It is based on the video retrieval engine IMOTION. iAutoMotion uses a camera to capture the input for both visual and textual queries and performs query composition, retrieval, and result submission autonomously. For the visual tasks, it uses various visual features applied to the captured query images; for the textual tasks, it applies OCR and some basic natural language processing, combined with object recognition. As the iAutoMotion system does not conform to the VBS 2016 rules, it will participate as unofficial competitor and serve as a benchmark for the manually operated systems.
dc.description.fulltextNo
dc.description.harvestedfromManual
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.peerreviewstatusN/A
dc.description.publisherscopeInternational
dc.description.readpublishN/A
dc.description.sponsoredbyTubitakEuN/A
dc.description.studentonlypublicationNo
dc.description.studentpublicationYes
dc.description.versionN/A
dc.identifier.WoSQuartileQ4
dc.identifier.doi10.1007/978-3-319-27674-8_37
dc.identifier.eissn1611-3349
dc.identifier.embargoN/A
dc.identifier.endpage387
dc.identifier.isbn9783319276731
dc.identifier.issn0302-9743
dc.identifier.scopus2-s2.0-84955256496
dc.identifier.startpage383
dc.identifier.urihttps://doi.org/10.1007/978-3-319-27674-8_37
dc.identifier.urihttps://hdl.handle.net/20.500.14288/7259
dc.identifier.volume9517
dc.keywordsEngines
dc.keywordsImage retrieval
dc.keywordsNatural language processing systems
dc.keywordsObject recognition
dc.keywordsVision
dc.keywordsContent-based video retrieval
dc.keywordsNatural language processing
dc.keywordsOperated systems
dc.keywordsQuery composition
dc.keywordsTextual query
dc.keywordsVideo retrieval
dc.keywordsVideo retrieval system
dc.keywordsVisual feature
dc.keywordsVisual languages
dc.language.isoeng
dc.publisherSpringer Nature
dc.relation.affiliationKoç University
dc.relation.collectionKoç University Institutional Repository
dc.relation.ispartofLecture Notes in Computer Science
dc.relation.openaccessN/A
dc.rightsN/A
dc.subjectComputer science
dc.titleiAutoMotion- an autonomous content-based video retrieval engine
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorSezgin, Tevfik Metin
local.contributor.kuauthorSahillioğlu, Yusuf
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