Now showing items 1-4 of 4

    • Bilkent University at TRECVID 2007 

      Aksoy, Selim; Duygulu, Pınar; Aksoy, C.; Aydin, E.; Gunaydin, D.; Hadimli, K.; Koç L.; Olgun, Y.; Orhan, C.; Yakin G. (National Institute of Standards and Technology, 2007)
      We describe our fourth participation, that includes two high-level feature extraction runs, and one manual search run, to the TRECVID video retrieval evaluation. All of these runs have used a system trained on the common ...
    • Bilkent University Multimedia Database Group at TRECVID 2008 

      Küçüktunç, Onur; Baştan, Muhammet; Güdükkbay, Uğur; Ulusoy, Özgür (National Institute of Standards and Technology, 2008-11)
      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 ...
    • A relevance feedback technique for multimodal retrieval of news videos 

      Aksoy, Selim; Çavuş Özge (IEEE, 2005-11)
      Content-based retrieval in news video databases has become an important task with the availability of large quantities of data in both public and proprietary archives. We describe a relevance feedback technique that captures ...
    • Systematic evaluation of face detection algorithms on news videos 

      Acar, Can; Atlas, Arda; Çevik, Koray; Ölmez İsa; Ünlü, Mustafa; Özkan, Derya; Duygulu, Pınar (IEEE, 2007)
      People are the most important subjects in news videos and for proper retrieval of people images; face detection is a very crucial step. However, face detection and recognition in news videos is a very challenging task due ...