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IMOTION – searching for video sequences using multi-shot sketch queries

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dc.conference.dateJAN 4-6, 2016
dc.conference.locationMiami, America
dc.conference.organizer22nd International Conference on MultiMedia Modeling, MMM 2016
dc.contributor.coauthorRossetto, Luca
dc.contributor.coauthorGiangreco, Ivan
dc.contributor.coauthorHeller, Silvan
dc.contributor.coauthorTănase, Claudiu
dc.contributor.coauthorSchuldt, Heiko
dc.contributor.coauthorDupont, Stephane
dc.contributor.coauthorSeddati, Omar
dc.contributor.departmentIntelligent User Interfaces Laboratory
dc.contributor.facultymemberYes
dc.contributor.kuauthorAltıok, Ozan Can
dc.contributor.kuauthorSahillioğlu, Yusuf
dc.contributor.kuauthorSezgin, Tevfik Metin
dc.contributor.schoolcollegeinstituteLaboratory
dc.date.accessioned2024-11-09T22:53:29Z
dc.date.issued2016
dc.description.abstractThis paper presents the second version of the IMOTION system, a sketch-based video retrieval engine supporting multiple query paradigms. Ever since, IMOTION has supported the search for video sequences on the basis of still images, user-provided sketches, or the specification of motion via flow fields. For the second version, the functionality and the usability of the system have been improved. It now supports multiple input images (such as sketches or still frames) per query, as well as the specification of objects to be present within the tar-get sequence. The results are either grouped by video or by sequence and the support for selective and collaborative retrieval has been improved. Special features have been added to encapsulate semantic similarity.
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.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipThis work was partly supported by the Chist-Era project IMOTION with contributions from the Belgian Fonds de la Recherche Scientifique (FNRS, contract no. R.50.02.14.F), the Scientific and Technological Research Council of Turkey (Tübitak, grant no. 113E325), and the Swiss National Science Foundation (SNSF, contract no. 20CH21_151571).
dc.description.studentonlypublicationNo
dc.description.studentpublicationYes
dc.description.versionN/A
dc.identifier.doi10.1007/978-3-319-27674-8_36
dc.identifier.embargoN/A
dc.identifier.endpage382
dc.identifier.grantnoR.50.02.14.F
dc.identifier.grantno113E325
dc.identifier.grantno20CH21_151571
dc.identifier.isbn9783319276731
dc.identifier.issn0302-9743
dc.identifier.quartileQ4
dc.identifier.scopus2-s2.0-84955324723
dc.identifier.startpage377
dc.identifier.urihttps://doi.org/10.1007/978-3-319-27674-8_36
dc.identifier.urihttps://hdl.handle.net/20.500.14288/7195
dc.identifier.volume9517
dc.keywordsImage retrieval
dc.keywordsSemantics
dc.keywordsSpecifications
dc.keywordsMulti-shot
dc.keywordsMultiple inputs
dc.keywordsMultiple queries
dc.keywordsSemantic similarity
dc.keywordsStill images
dc.keywordsVideo retrieval
dc.keywordsVideo sequences
dc.keywordsVideo recording
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.titleIMOTION – searching for video sequences using multi-shot sketch queries
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorSezgin, Tevfik Metin
local.contributor.kuauthorAltıok, Ozan Can
local.contributor.kuauthorSahillioğlu, Yusuf
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