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dc.contributor.authorAksoy, S.en_US
dc.contributor.authorBoyaci H.en_US
dc.contributor.authorGökçay, D.en_US
dc.date.accessioned2016-02-08T11:37:16Z
dc.date.available2016-02-08T11:37:16Z
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/11693/26837
dc.description.abstractObject recognition and scene classification are among the main interests in computer vision which have been investigated for long. Automatic recognition and classification ofobjects and scenes is an important skill to be gained by computers, especially in the field of artificial intelligence. Merging this skill with the ever increasing computing power of the computers will help in the development ofmany applications that are yet to be resolved. In this article, we present a survey on contextual and semantic approaches for object recognition by reviewing both computer vision and human vision literatures. ©2008 IEEE.en_US
dc.language.isoTurkishen_US
dc.source.title2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIUen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/SIU.2008.4632760en_US
dc.subjectAutomatic recognitionsen_US
dc.subjectComputing powersen_US
dc.subjectHuman visionsen_US
dc.subjectScene classificationsen_US
dc.subjectSemantic approachesen_US
dc.subjectSemantic descriptionsen_US
dc.subjectApplicationsen_US
dc.subjectArtificial intelligenceen_US
dc.subjectComputer visionen_US
dc.subjectImage processingen_US
dc.subjectInformation theoryen_US
dc.subjectSemanticsen_US
dc.subjectSignal processingen_US
dc.subjectObject recognitionen_US
dc.titleThe importance of context and semantic descriptions in object recognition: Studies in computer vision and human visionen_US
dc.title.alternativeNesne tanimada bağlam ve anlambilimsel siniflandirmanin önemi: Bilgisayarla görme ve insanda görme alanlarindaki çaliş malaren_US
dc.typeConference Paperen_US
dc.departmentDepartment of Computer Engineering
dc.identifier.doi10.1109/SIU.2008.4632760en_US


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