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dc.contributor.authorTöreyin, Behçet Uğuren_US
dc.contributor.authorDedeoğlu, Yiğithanen_US
dc.contributor.authorÇetin, Ahmet Enisen_US
dc.contributor.authorFazekas, S.en_US
dc.contributor.authorChetverikov, D.en_US
dc.contributor.authorAmiaz, T.en_US
dc.contributor.authorKiryati, N.en_US
dc.coverage.spatialAmsterdam, The Netherlands
dc.date.accessioned2016-02-08T11:39:24Z
dc.date.available2016-02-08T11:39:24Z
dc.date.issued2007-07en_US
dc.identifier.urihttp://hdl.handle.net/11693/26912
dc.descriptionDate of Conference: 09 - 11 July, 2007
dc.descriptionConference name: CIVR '07 Proceedings of the 6th ACM international conference on Image and video retrieval
dc.description.abstractDynamic textures are common in natural scenes. Examples of dynamic textures in video include fire, smoke, clouds, trees in the wind, sky, sea and ocean waves etc. In this showcase, (i) we develop real-time dynamic texture detection methods in video and (ii) present solutions to video object classification based on motion information. Copyright 2007 ACM.en_US
dc.language.isoEnglishen_US
dc.source.titleProceedings of the 6th ACM International Conference on Image and Video Retrieval, CIVR 2007en_US
dc.relation.isversionofhttps://doi.org/10.1145/1282280.1282304en_US
dc.subjectDynamic textures in videoen_US
dc.subjectFire detectionen_US
dc.subjectSmoke detectionen_US
dc.subjectImage segmentationen_US
dc.subjectInformation analysisen_US
dc.subjectMotion estimationen_US
dc.subjectReal time systemsen_US
dc.subjectDynamic texturesen_US
dc.subjectDynamic textures in videoen_US
dc.subjectSmoke detectionen_US
dc.subjectVideo object classificationen_US
dc.subjectImage analysisen_US
dc.titleDynamic texture detection, segmentation and analysisen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineeringen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.spage131en_US
dc.citation.epage134en_US
dc.identifier.doi10.1145/1282280.1282304en_US
dc.publisherACM


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