A database model for querying visual surveillance videos by integrating semantic and low-level features

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buir.contributor.authorGüdükbay, Uğur
dc.citation.epage176en_US
dc.citation.spage163en_US
dc.citation.volumeNumber3665en_US
dc.contributor.authorŞaykol, Edizen_US
dc.contributor.authorGüdükbay, Uğuren_US
dc.contributor.authorUlusoy, Özgüren_US
dc.coverage.spatialSorrento, Italyen_US
dc.date.accessioned2016-02-08T11:50:16Z
dc.date.available2016-02-08T11:50:16Zen_US
dc.date.issued2005en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.descriptionConference name: 11th International Workshop, MIS 2005en_US
dc.descriptionDate of Conference: 19-21 September 2005en_US
dc.description.abstractAutomated visual surveillance has emerged as a trendy application domain in recent years. Many approaches have been developed on video processing and understanding. Content-based access to surveillance video has become a challenging research area. The results of a considerable amount of work dealing with automated access to visual surveillance have appeared in the literature. However, the event models and the content-based querying and retrieval components have significant gaps remaining unfilled. To narrow these gaps, we propose a database model for querying surveillance videos by integrating semantic and low-level features. In this paper, the initial design of the database model, the query types, and the specifications of its query language are presented. © Springer-Verlag Berlin Heidelberg 2005.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T11:50:16Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2005en_US
dc.identifier.doi10.1007/11551898_15en_US
dc.identifier.doi10.1007/11551898en_US
dc.identifier.issn1611-3349
dc.identifier.urihttp://hdl.handle.net/11693/27309en_US
dc.language.isoEnglishen_US
dc.publisherSpringer, Berlin, Heidelbergen_US
dc.relation.isversionofhttps://doi.org/10.1007/11551898_15en_US
dc.relation.isversionofhttps://doi.org/10.1007/11551898en_US
dc.source.titleAdvances in Multimedia Information Systemsen_US
dc.subjectInformation retrievalen_US
dc.subjectInformation technologyen_US
dc.subjectMathematical modelsen_US
dc.subjectQuery languagesen_US
dc.subjectSemanticsen_US
dc.subjectVisual communicationen_US
dc.subjectContent-based queryingen_US
dc.subjectDatabase modelen_US
dc.subjectSurveillance videoen_US
dc.subjectVisual surveillanceen_US
dc.subjectDatabase systemsen_US
dc.titleA database model for querying visual surveillance videos by integrating semantic and low-level featuresen_US
dc.typeConference Paperen_US

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