A database model for querying visual surveillance videos by integrating semantic and low-level features
buir.contributor.author | Güdükbay, Uğur | |
dc.citation.epage | 176 | en_US |
dc.citation.spage | 163 | en_US |
dc.citation.volumeNumber | 3665 | en_US |
dc.contributor.author | Şaykol, Ediz | en_US |
dc.contributor.author | Güdükbay, Uğur | en_US |
dc.contributor.author | Ulusoy, Özgür | en_US |
dc.coverage.spatial | Sorrento, Italy | en_US |
dc.date.accessioned | 2016-02-08T11:50:16Z | |
dc.date.available | 2016-02-08T11:50:16Z | en_US |
dc.date.issued | 2005 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description | Conference name: 11th International Workshop, MIS 2005 | en_US |
dc.description | Date of Conference: 19-21 September 2005 | en_US |
dc.description.abstract | Automated 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.provenance | Made 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: 2005 | en_US |
dc.identifier.doi | 10.1007/11551898_15 | en_US |
dc.identifier.doi | 10.1007/11551898 | en_US |
dc.identifier.issn | 1611-3349 | |
dc.identifier.uri | http://hdl.handle.net/11693/27309 | en_US |
dc.language.iso | English | en_US |
dc.publisher | Springer, Berlin, Heidelberg | en_US |
dc.relation.isversionof | https://doi.org/10.1007/11551898_15 | en_US |
dc.relation.isversionof | https://doi.org/10.1007/11551898 | en_US |
dc.source.title | Advances in Multimedia Information Systems | en_US |
dc.subject | Information retrieval | en_US |
dc.subject | Information technology | en_US |
dc.subject | Mathematical models | en_US |
dc.subject | Query languages | en_US |
dc.subject | Semantics | en_US |
dc.subject | Visual communication | en_US |
dc.subject | Content-based querying | en_US |
dc.subject | Database model | en_US |
dc.subject | Surveillance video | en_US |
dc.subject | Visual surveillance | en_US |
dc.subject | Database systems | en_US |
dc.title | A database model for querying visual surveillance videos by integrating semantic and low-level features | en_US |
dc.type | Conference Paper | en_US |
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