Now showing items 1-20 of 56

    • 3D human pose search using oriented cylinders 

      Pehlivan, Selen; Duygulu, Pınar (IEEE, 2009-09-10)
      In this study, we present a representation based on a new 3D search technique for volumetric human poses which is then used to recognize actions in three dimensional video sequences. We generate a set of cylinder like 3D ...
    • Atatürk'ün el yazmalarının işlenmesi 

      Soysal, Talha; Adıgüzel Hande; Öktem, Alp; Haman, Alican; Can, Ethem Fatih; Duygulu, Pınar; Kalpaklı, Mehmet (IEEE, 2010-04)
      Bu çalımada Atatürk'ün el yazmalarının etkin ve kolay eriimini salayabilecek kelime tabanlı bir arama sisteminin ilk aaması olarak sayısallatırılmı belgelerin ön ilemesi ve satır ve kelimelere bölütlenmesi konusunda çalımalar ...
    • Automatic categorization of ottoman literary texts by poet and time period 

      Can, Ethem F.; Can, Fazlı; Duygulu, Pınar; Kalpaklı, Mehmet (Springer, London, 2012)
      Millions of manuscripts and printed texts are available in the Ottoman language. The automatic categorization of Ottoman texts would make these documents much more accessible in various applications ranging from historical ...
    • Automatic image captioning 

      Pan J.-Y.; Yang H.-J.; Duygulu, Pınar; Faloutsos, C. (2004)
      In this paper, we examine the problem of automatic image captioning. Given a training set of captioned images, we want to discover correlations between image features and keywords, so that we can automatically find good ...
    • Automatic multimedia cross-modal correlation discovery 

      Pan, J.-Y.; Yang, H.-J.; Faloutsos, C.; Duygulu, Pınar (ACM, 2004-08)
      Given an image (or video clip, or audio song), how do we automatically assign keywords to it? The general problem is to find correlations across the media in a collection of multimedia objects like video clips, with colors, ...
    • Benzer yüzlerin bulunması 

      Torun, R. Baturalp; Yurdakul, Merve; Duygulu, Pınar (IEEE, 2009-04)
      In this paper, we propose a method to match similar faces despite photos, which are taken from different sources on Internet, could have different scenes, illumination and posing. Interest points are used to recognize ...
    • Bilkent University at TRECVID 2005 

      Aksoy, Selim; Avcı, Akın; Balçık, Erman; Çavuş, Özge; Duygulu, Pınar; Karaman, Zeynep; Kavak, Pınar; Kaynak, Cihan; Küçükayvaz, Emre; Öcalan, Çağdaş; Yıldız, Pınar (National Institute of Standards and Technology, 2005-11)
      We describe our second-time participation, that includes one high-level feature extraction run, and three manual and one interactive search runs, to the TRECVID video retrieval evaluation. All of these runs have used a ...
    • 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 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 ...
    • 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. ...
    • Comparison and combination of two novel commercial detection methods 

      Duygulu, Pınar; Chen, M.-Y.; Hauptmann, A. (IEEE, 2004-06)
      Detection and removal of commercials plays an important role when searching for important broadcast news video material. In this study, two novel approaches are proposed based on two distinctive characteristics of commercials, ...
    • 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 ...
    • ConceptMap: mining noisy web data for concept learning 

      Gölge, Eren; Duygulu, Pınar (Springer, 2014-09)
      We attack the problem of learning concepts automatically from noisy Web image search results. The idea is based on discovering common characteristics shared among subsets of images by posing a method that is able to organise ...
    • Cross-Modal correlation mining using graph algorithms 

      Pan, J. -Y.; Yang, H. -J.; Faloutsos, C.; Duygulu, Pınar (IGI Global, 2007)
      Multimedia objects like video clips or captioned images contain data of various modalities such as image, audio, and transcript text. Correlations across different modalities provide information about the multimedia content, ...
    • A discussion on homography between stationary multi-camera systems and the soccer field model 

      Baysal, Sermetcan; Duygulu, Pınar; Kayalar, Ceren (IEEE, 2012)
      Computer vision based athlete tracking systems use different methods to segment players from the background and then track them automatically throughout the video. It is insufficient to know a player's position on the image ...
    • El yazısı belgelerde kelime tabanlı arama 

      Can, Ethem F.; Duygulu, Pınar (IEEE, 2008-04)
      Bu çalışmada el yazısı belgelerde arama yapabilmek için yeni yöntemler önerilmiştir. Bu çalışmadaki en temel varsayım ve yola çıkış noktası; her bir kelimenin resim gibi ele alınabileceği ve dolayısıyla resim arama teknikleri ...
    • Etkileşimli görsellik kullanılarak el aletlerinin sağlarlık tahmini 

      Çalışkan, Yiğit; Duygulu, Pınar; Şahin, E. (IEEE, 2012-04)
      Günlük hayatta bir iş için seçilecek el aleti genellikle o aletin dış görünüşü ve nesneler üzerindeki etkisinden yola çıkılarak seçiilir. Bu etki, seçilen aletin sağlarlığını (ing. affordance) belirler. Bu çalışmanın amacı, ...
    • FAME: Face association through model evolution 

      Gölge, Eren; Duygulu, Pınar (IEEE, 2015-06)
      We attack the problem of building classifiers for public faces from web images collected through querying a name. The search results are very noisy even after face detection, with several irrelevant faces corresponding to ...
    • Finding faces in news photos using both face and name information 

      Özkan, Derya; Duygulu, Pınar (IEEE, 2006)
      We propose a method to associate names and faces for querying people in large news photo collections. On the assumption that a person's face is likely to appear when his/her name is mentioned in the caption, first all the ...
    • Finding people frequently appearing in news 

      Özkan, Derya; Duygulu, Pınar (Springer, 2006-07)
      We propose a graph based method to improve the performance of person queries in large news video collections. The method benefits from the multi-modal structure of videos and integrates text and face information. Using the ...