Now showing items 1-4 of 4

    • Bilkent University Multimedia Database Group at TRECVID 2008 

      Kucuktunc O.; Bastan, M.; Gudukbay, U.; Ulusoy O. (National Institute of Standards and Technology, 2008)
      Bilkent University Multimedia Database Group (BILMDG) participated in two tasks at TRECVID 2008: content-based copy detection (CBCD) and high-level feature extraction (FE). Mostly MPEG-7 [1] visual features, which are also ...
    • Bilkent-RETINA at Retrieving Diverse Social Images task of MediaEval 2014 

      Sarac, M.I.; Duygulu P. (CEUR-WS, 2014)
      This paper explains the approach proposed by Bilkent - RETINA team for the Retrieving Diverse Social Images task of MediaEval 2014 [1]. We develop a framework which rst removes outliers using one-class support vector ...
    • On recognizing actions in still images via multiple features 

      Sener F.; Bas, C.; Ikizler-Cinbis, N. (2012)
      We propose a multi-cue based approach for recognizing human actions in still images, where relevant object regions are discovered and utilized in a weakly supervised manner. Our approach does not require any explicitly ...
    • What's news, what's not? Associating news videos with words 

      Duygulu, P.; Hauptmann, A. (Springer, 2004)
      Text retrieval from broadcast news video is unsatisfactory, because a transcript word frequently does not directly 'describe' the shot when it was spoken. Extending the retrieved region to a window around the matching ...