Publication:
IMOTION — a content-based video retrieval engine

dc.contributor.coauthorRossetto, Luca
dc.contributor.coauthorGiangreco, Ivan
dc.contributor.coauthorSchuldt, Heiko
dc.contributor.coauthorDupont, Stèphane
dc.contributor.coauthorSeddati, Omar
dc.contributor.departmentDepartment of Computer Engineering
dc.contributor.departmentGraduate School of Sciences and Engineering
dc.contributor.kuauthorSahillioğlu, Yusuf
dc.contributor.kuauthorSezgin, Tevfik Metin
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.contributor.schoolcollegeinstituteGRADUATE SCHOOL OF SCIENCES AND ENGINEERING
dc.date.accessioned2024-11-09T23:19:42Z
dc.date.issued2015
dc.description.abstractThis paper introduces the IMOTION system, a sketch-based video retrieval engine supporting multiple query paradigms. For vector space retrieval, the IMOTION system exploits a large variety of lowlevel image and video features, as well as high-level spatial and temporal features that can all be jointly used in any combination. In addition, it supports dedicated motion features to allow for the specification of motion within a video sequence. For query specification, the IMOTION system supports query-by-sketch interactions (users provide sketches of video frames), motion queries (users specify motion across frames via partial flow fields), query-by-example (based on images) and any combination of these, and provides support for relevance feedback.
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipAustralia Government AusAID
dc.description.sponsorshipBusiness Events Australia
dc.description.sponsorshipBusiness Events Sydney
dc.description.sponsorshipQantas
dc.description.sponsorshipThe University of Technology
dc.description.volume8936
dc.identifier.doi10.1007/978-3-319-14442-9_24
dc.identifier.isbn9783-3191-4441-2
dc.identifier.issn0302-9743
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-84927799508
dc.identifier.urihttps://doi.org/10.1007/978-3-319-14442-9_24
dc.identifier.urihttps://hdl.handle.net/20.500.14288/10577
dc.keywordsEngines
dc.keywordsSpecifications
dc.keywordsVector spaces
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.subjectComputer science
dc.titleIMOTION — a content-based video retrieval engine
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorSezgin, Tevfik Metin
local.contributor.kuauthorSahillioğlu, Yusuf
local.publication.orgunit1College of Engineering
local.publication.orgunit1GRADUATE SCHOOL OF SCIENCES AND ENGINEERING
local.publication.orgunit2Department of Computer Engineering
local.publication.orgunit2Graduate School of Sciences and Engineering
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