Now showing items 1-2 of 2

    • Conceptfusion: A flexible scene classification framework 

      Saraç, Mustafa İlker; işcen, Ahmet; Gölge, Eren; Duygulu, Pınar (Springer, 2015-03-04)
      We introduce ConceptFusion, a method that aims high accuracy in categorizing large number of scenes, while keeping the model relatively simpler and efficient for scalability. The proposed method combines the advantages of ...
    • Scene classification with random forests and object and color distributions 

      İşcen, Ahmet; Gölge, Eren; Armağan, Anıl; Duygulu, Pınar (IEEE, 2013)
      We propose a method to recognize the scene of an image by finding the objects and the colors it contains. We approach this problem by creating a binary vector of detected objects and a histogram of the colors that the image ...