Now showing items 1-8 of 8

    • Bilkent university at TRECVID 2006 

      Aksoy, Selim; Duygulu, Pınar; Akçay, Hüseyin Gökhan; Ataer, Esra; Baştan, Muhammet; Can, Tolga; Çavuş, Özge; Doǧgrusöz, Emel; Gökalp, Demir; Akaydın, Ateş; Akoǧlu, Leman; Angın, Pelin; Cinbiş, R. Gökberk; Gür, Tunay; Ünlü, Mehmet (National Institute of Standards and Technology, 2006-11)
      We describe our third participation, that includes one high-level feature extraction run, and two manual and one interactive search runs, to the TRECVID video retrieval evaluation. All of these runs have used a system ...
    • 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 ...
    • BilVideo-7 : video parsing, indexing and retrieval 

      Baştan, Muhammet (Bilkent University, 2010)
      Video indexing and retrieval aims to provide fast, natural and intuitive access to large video collections. This is getting more and more important as the amount of video data increases at a stunning rate. This thesis ...
    • Combining textual and visual information for semantic labeling of images and videos 

      Duygulu, Pınar; Baştan, Muhammet; Özkan, Derya (Springer, Berlin, Heidelberg, 2008)
      Semantic labeling of large volumes of image and video archives is difficult, if not impossible, with the traditional methods due to the huge amount of human effort required for manual labeling used in a supervised setting. ...
    • Haber videolarında nesne tanıma ve otomatik etiketleme 

      Baştan, Muhammet; Duygulu, Pınar (IEEE, 2006-04)
      We propose a new approach to object recognition problem motivated by the availability of large annotated image and video collections. Similar to translation from one language to another, this approach considers the object ...
    • An MPEG-7 compatible video retrieval system with integrated support for complex multimodal queries 

      Baştan, Muhammet; Çam, Hayati; Güdükbay, Uğur; Ulusoy, Özgür (IEEE Computer Society, 2019)
      We present BilVideo-7, an MPEG-7 compatible, video indexing and retrieval system that supports complex multimodal queries in a unified framework. An MPEG-7 profile is developed to represent the videos by decomposing them ...
    • Recognizing objects and scenes in news videos 

      Baştan, Muhammet; Duygulu, Pınar (Springer, 2006-07)
      We propose a new approach to recognize objects and scenes in news videos motivated by the availability of large video collections. This approach considers the recognition problem as the translation of visual elements to ...
    • Segmentation-based extraction of important objects from video for object-based indexing 

      Baştan, Muhammet; Güdükbay, Uğur; Ulusoy, Özgür (IEEE, 2008-06)
      We describe a method to automatically extract important video objects for object-based indexing. Most of the existing salient object detection approaches detect visually conspicuous structures in images, while our method ...