Automatic detection of salient objects and spatial relations in videos for a video database system

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buir.contributor.authorUlusoy, Özgür
buir.contributor.authorGüdükbay, Uğur
dc.citation.epage1396en_US
dc.citation.issueNumber10en_US
dc.citation.spage1384en_US
dc.citation.volumeNumber26en_US
dc.contributor.authorSevilmiş, T.en_US
dc.contributor.authorBaştan M.en_US
dc.contributor.authorGüdükbay, Uğuren_US
dc.contributor.authorUlusoy, Özgüren_US
dc.date.accessioned2016-02-08T10:07:37Z
dc.date.available2016-02-08T10:07:37Z
dc.date.issued2008-10en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractMultimedia databases have gained popularity due to rapidly growing quantities of multimedia data and the need to perform efficient indexing, retrieval and analysis of this data. One downside of multimedia databases is the necessity to process the data for feature extraction and labeling prior to storage and querying. Huge amount of data makes it impossible to complete this task manually. We propose a tool for the automatic detection and tracking of salient objects, and derivation of spatio-temporal relations between them in video. Our system aims to reduce the work for manual selection and labeling of objects significantly by detecting and tracking the salient objects, and hence, requiring to enter the label for each object only once within each shot instead of specifying the labels for each object in every frame they appear. This is also required as a first step in a fully-automatic video database management system in which the labeling should also be done automatically. The proposed framework covers a scalable architecture for video processing and stages of shot boundary detection, salient object detection and tracking, and knowledge-base construction for effective spatio-temporal object querying. © 2008 Elsevier B.V. All rights reserved.en_US
dc.identifier.doi10.1016/j.imavis.2008.01.001en_US
dc.identifier.issn0262-8856
dc.identifier.urihttp://hdl.handle.net/11693/22998
dc.language.isoEnglishen_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.imavis.2008.01.001en_US
dc.source.titleImage and Vision Computingen_US
dc.subjectCamera focus estimationen_US
dc.subjectKnowledge-base constructionen_US
dc.subjectMultimedia databasesen_US
dc.subjectObject labelingen_US
dc.subjectSalient object detection and trackingen_US
dc.subjectAdministrative data processingen_US
dc.subjectData storage equipmenten_US
dc.subjectFeature extractionen_US
dc.subjectManagement information systemsen_US
dc.subjectVideo recordingen_US
dc.subjectVideo signal processingen_US
dc.subjectAutomatic detectionen_US
dc.subjectSpatio-temporal queriesen_US
dc.subjectSpatio-temporal relationsen_US
dc.subjectVideo database managementen_US
dc.subjectVideo databasesen_US
dc.subjectVideo processingen_US
dc.subjectDatabase systemsen_US
dc.subjectCamerasen_US
dc.subjectData processingen_US
dc.subjectData storageen_US
dc.subjectExtractionen_US
dc.subjectIndexingen_US
dc.subjectInformation retrievalen_US
dc.subjectInformation systemsen_US
dc.subjectLabelsen_US
dc.subjectManagementen_US
dc.subjectStorageen_US
dc.titleAutomatic detection of salient objects and spatial relations in videos for a video database systemen_US
dc.typeArticleen_US
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