Browsing by Keywords "Image retrieval"

Now showing items 1-20 of 35

    • Authorship attribution: performance of various features and classification methods 

      Bozkurt, I. N.; Bağlioğlu, Ö.; Uyar, E. (2007)
      Authorship attribution is the process of determining the writer of a document. In literature, there are lots of classification techniques conducted in this process. In this paper we explore information retrieval methods ...

    • Bilkent University at TRECVID 2005 

      Aksoy, S.; Avci, A.; Balçik, E.; Çavuş Ö.; Duygulu P.; Karaman, Z.; Kavak P.; Kaynak, C.; Küçükayvaz, E.; Öcalan Ç.; Yildiz P. (National Institute of Standards and Technology, 2005)
      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, S.; Duygulu P.; Akçay G.; Ataer, E.; Baştan, M.; Can, T.; Cavuş Ö.; Doǧgrusöz, E.; Gökalp, D.; Akaydin, A.; Akoǧlu L.; Angin P.; Cinbiş G.; Gür, T.; Ünlü, M. (National Institute of Standards and Technology, 2006)
      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, S.; Duygulu P.; Aksoy, C.; Aydin, E.; G̈unaydin, 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 ...

    • COST292 experimental framework for TRECVID 2006 

      Ćalić J.; Krämer P.; Naci, U.; Vrochidis, S.; Aksoy, S.; Zhangk Q.; Benois-Pineau J.; Saracoglu, A.; Doulaverakis, C.; Jarina, R.; Campbell, N.; Mezaris V.; Kompatsiaris I.; Spyrou, E.; Koumoulos G.; Avrithis, Y.; Dalkilic, A.; Alatan, A.; Hanjalic, A.; Izquierdo, E. (National Institute of Standards and Technology, 2006)
      In this paper we give an overview of the four TRECVID tasks submitted by COST292, European network of institutions in the area of semantic multimodal analysis and retrieval of digital video media. Initially, we present ...

    • The COST292 experimental framework for TRECVID 2007 

      Zhang, Q.; Corvaglia, M.; Aksoy, S.; Naci, U.; Adami, N.; Aginako, N.; Alatan, A.; Alexandre, L. A.; Almeida, P.; Avrithis, Y.; Benois-Pineau, J.; Chandramouli, K.; Damnjanovic, U.; Esen, E.; Goya, J.; Grzegorzek, M.; Hanjalic, A.; Izquierdo, E.; Jarina, R.; Kapsalas, P.; Kompatsiaris, I.; Kuba, M.; Leonardi, R.; Makris, L.; Mansencal, B.; Mezaris, V.; Moumtzidou, A.; Mylonas, P.; Nikolopoulos, S.; Piatrik, T.; Pinheiro, A. M. G.; Reljin, B.; Spyrou, E.; Tolias, G.; Vrochidis, S.; Yakın, G.; Zajic, G. (National Institute of Standards and Technology, 2007)
      In this paper, we give an overview of the four tasks submitted to TRECVID 2007 by COST292. In shot boundary (SB) detection task, four SB detectors have been developed and the results are merged using two merging algorithms. ...

    • Ensemble of multiple instance classifiers for image re-ranking 

      Sener F.; Ikizler-Cinbis, N. (Elsevier Ltd, 2014)
      Text-based image retrieval may perform poorly due to the irrelevant and/or incomplete text surrounding the images in the web pages. In such situations, visual content of the images can be leveraged to improve the image ...

    • Feature extraction and classification in a two-state brain-computer interface 

      Altindis, F.; Yilmaz, B. (Institute of Electrical and Electronics Engineers Inc., 2017)
      Brain Computer Interface (BCI) technology is used to help patients who do not have control over motor neurons such as ALS or paralyzed patients, to communicate with outer world. This work aims to classify motor imageries ...

    • Fuzzy color histogram-based video segmentation 

      Küçüktunç, O.; Güdükbay U.; Ulusoy, Ö. (Academic Press, 2010)
      We present a fuzzy color histogram-based shot-boundary detection algorithm specialized for content-based copy detection applications. The proposed method aims to detect both cuts and gradual transitions (fade, dissolve) ...

    • GCap: Graph-based automatic image captioning 

      Pan J.-Y.; Yang H.-J.; Faloutsos C.; Duygulu, P. (IEEE Computer Society, 2004)
      Given an image, how do we automatically assign keywords to it? In this paper, we propose a novel, graph-based approach (GCap) which outperforms previously reported methods for automatic image captioning. Moreover, it is ...

    • A histogram-based approach for object-based query-by-shape-and-color in image and video databases 

      Şaykol, E.; Güdükbay U.; Ulusoy, Ö. (Elsevier, 2005)
      Considering the fact that querying by low-level object features is essential in image and video data, an efficient approach for querying and retrieval by shape and color is proposed. The approach employs three specialized ...

    • Human eye localization using edge projections 

      Türkan, Mehmet; Pardas, M.; Çetin, Ahmet Enis (Institute for Systems and Technologies of Information, Control and Communication, 2007)
      In this paper, a human eye localization algorithm in images and video is presented for faces with frontal pose and upright orientation. A given face region is filtered by a high-pass filter of a wavelet transform. In this ...

    • Image information mining using spatial relationship constraints 

      Karakuş, Fatih (Bilkent University, 2012)
      There is a huge amount of data which is collected from the Earth observation satellites and they are continuously sending data to Earth receiving stations day by day. Therefore, mining of those data becomes more important ...

    • Image mining using directional spatial constraints 

      Aksoy, S.; Cinbiş, R. G. (Institute of Electrical and Electronics Engineers, 2010-01)
      Spatial information plays a fundamental role in building high-level content models for supporting analysts' interpretations and automating geospatial intelligence. We describe a framework for modeling directional spatial ...

    • Interactive training of advanced classifiers for mining remote sensing image archives 

      Aksoy, S.; Koperski, K.; Tusk, C.; Marchisio G. (2004)
      Advances in satellite technology and availability of down-loaded images constantly increase the sizes of remote sensing image archives. Automatic content extraction, classification and content-based retrieval have become ...

    • Learning bayesian classifiers for scene classification with a visual grammar 

      Aksoy, Selim; Koperski, K.; Tusk, C.; Marchisio, G.; Tilton, J. C. (IEEE, 2005-03)
      A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of images. We describe a Bayesian framework for a visual grammar that ...

    • Learning bayesian classifiers for scene classification with a visual grammar 

      Aksoy, Selim; Koperski, K.; Tusk, C.; Marchisio, G.; Tilton J. C. (IEEE, 2005)
      A challenging problem in image content extraction and classification is building a system that automatically learns high-level semantic interpretations of images. We describe a Bayesian framework for a visual grammar that ...

    • Man-made object classification in SAR images using 2-D cepstrum 

      Eryildirim, A.; Cetin, A.E. (2009)
      In this paper, a novel descriptive feature parameter extraction method from Synthetic Aperture Radar (SAR) images is proposed. The new method is based on the two-dimensional (2-D) real cepstrum. This novel 2-D cepstrum ...

    • Matching Ottoman words 

      Ataer, E.; Duygulu P. (2007)
      Large archives of Ottoman documents are challenging to many historians all over the world. However, these archives remain inaccessible since manual transcription of such a huge volume is difficult. Automatic transcription ...

    • Matching ottoman words: An image retrieval approach to historical document indexing 

      Ataer, E.; Duygulu P. (2007)
      Large archives of Ottoman documents are challenging to many historians all over the world. However, these archives remain inaccessible since manual transcription of such a huge volume is difficult. Automatic transcription ...