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

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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.departmentDepartment of Computer Engineering
dc.contributor.departmentN/A
dc.contributor.departmentN/A
dc.contributor.kuauthorSezgin, Tevfik Metin
dc.contributor.kuauthorAltıok, Ozan Can
dc.contributor.kuauthorSahillioğlu, Yusuf
dc.contributor.kuprofileFaculty Member
dc.contributor.kuprofileMaster Student
dc.contributor.kuprofilePhD Student
dc.contributor.otherDepartment of Computer Engineering
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.schoolcollegeinstituteGraduate School of Sciences and Engineering
dc.contributor.yokid18632
dc.contributor.yokidN/A
dc.contributor.yokid215195
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.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsorshipFX Palo Alto Laboratory
dc.description.sponsorshipSpringer Publishing
dc.description.sponsorshipUniversity of Central Florida
dc.description.volume9517
dc.identifier.doi10.1007/978-3-319-27674-8_36
dc.identifier.isbn9783-3192-7673-1
dc.identifier.issn0302-9743
dc.identifier.linkhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84955324723&doi=10.1007%2f978-3-319-27674-8_36&partnerID=40&md5=9a533ed1a2f8346d4fb78f0f06c81ed9
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-84955324723
dc.identifier.urihttp://dx.doi.org/10.1007/978-3-319-27674-8_36
dc.identifier.urihttps://hdl.handle.net/20.500.14288/7195
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.languageEnglish
dc.publisherSpringer
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.subjectComputer science
dc.titleIMOTION – searching for video sequences using multi-shot sketch queries
dc.typeConference proceeding
dspace.entity.typePublication
local.contributor.authorid0000-0002-1524-1646
local.contributor.authoridN/A
local.contributor.authorid0000-0002-7997-4232
local.contributor.kuauthorSezgin, Tevfik Metin
local.contributor.kuauthorAltıok, Ozan Can
local.contributor.kuauthorSahillioğlu, Yusuf
relation.isOrgUnitOfPublication89352e43-bf09-4ef4-82f6-6f9d0174ebae
relation.isOrgUnitOfPublication.latestForDiscovery89352e43-bf09-4ef4-82f6-6f9d0174ebae

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