Now showing items 1-5 of 5

    • Leveraging large scale data for video retrieval 

      Armağan, Anıl (Bilkent University, 2014)
      The large amount of video data shared on the web resulted in increased interest on retrieving videos using usual cues, since textual cues alone are not sufficient for satisfactory results. We address the problem of ...
    • MUCKE participation at retrieving diverse social images task of MediaEval 2013 

      Armağan, Anıl; Popescu, A.; Duygulu, Pınar (CEUR-WS, 2013)
      The Mediaeval 2013 Retrieving Diverse Social Image Task addresses the challenge of improving both relevance and diversity of photos in a retrieval task on Flickr. We propose a clustering based technique that exploits both ...
    • 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 ...
    • Toward an estimation of user tagging credibility for social image retrieval 

      Ginsca, A. L.; Popescu, A.; Ionescu, B.; Armağan, Anıl; Kanellos, I. (ACM, 2014-11)
      Existing image retrieval systems exploit textual or/and visual information to return results. Retrieval is mostly focused on data themselves and disregards the data sources. In Web 2.0 platforms, the quality of annotations ...
    • What is usual in unusual videos? trajectory snippet histograms for discovering unusualness 

      İşcen, Ahmet; Armağan, Anıl; Duygulu, Pınar (IEEE, 2014-06)
      Unusual events are important as being possible indicators of undesired consequences. Moreover, unusualness in everyday life activities may also be amusing to watch as proven by the popularity of such videos shared in social ...