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      Nesne tanımada bağlam ve anlambilimsel sınıflandırmanın önemi: Bilgisayarla görme ve insanda görme alanlarındaki çalışmalar

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      Author
      Aksoy, Selim
      Boyacı, Hüseyin
      Gökçay, D.
      Date
      2008-04
      Source Title
      IEEE 16th Signal Processing, Communication and Applications Conference, SIU 2008
      Publisher
      IEEE
      Language
      Turkish
      Type
      Conference Paper
      Item Usage Stats
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      Abstract
      Sahne sınıflandırması ve nesne tanıma, bilgisayarla görme alanında fok uzun yıllardır üzerinde çalışılan temel problemlerdir. Bilgisayarlara kazandırılmaya çalışılan, sahnelerin ve içerdikleri nesnelerin otomatik olarak tanınması ve etiketlendirilmesi yeteneği, yapay zeka konusunda önemli bir adım olma potansiyeli taşımaktadır. Bu yetenek, her geçen gün artan hesaplama kapasitesi ile birleştirildiğinde de henüz çözümü mümüun olmayan birçok uygulamanın da gerçekleştirilmesi mümkün olacaktır. Yazımızda nesne tanımayı kolaylaştıran anlambilimseI sınıflandırma yaklaşımları, hem bilgisayarda hem de insanda görme alanlarındaki literatür üzerinden özetlenmektedir. Object 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.
      Keywords
      Automatic recognitions
      Computing powers
      Human visions
      Scene classifications
      Semantic approaches
      Semantic descriptions
      Applications
      Artificial intelligence
      Computer vision
      Image processing
      Information theory
      Semantics
      Signal processing
      Object recognition
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      http://hdl.handle.net/11693/26837
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/SIU.2008.4632760
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      • Department of Computer Engineering 1410
      • Department of Psychology 170
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