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Iautomotion - an autonomous content-based video retrieval engine

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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.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.accessioned2024-11-09T22:53:48Z
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.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
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_37
dc.identifier.isbn9783-3192-7673-1
dc.identifier.issn0302-9743
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-84955256496
dc.identifier.urihttps://doi.org/10.1007/978-3-319-27674-8_37
dc.identifier.urihttps://hdl.handle.net/20.500.14288/7259
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
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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
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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