Browsing by Keywords "Feature extraction"

Now showing items 1-20 of 91

    • Alternative feature extraction approaches for car plate recognition 

      Duman Ş.; Öktem, R.; Çetin, A. E. (2005)
      License plate detection is an important problem for surveillance systems and traffic applications. This work primarily focuses on feature extraction approaches for extracting candidate car plate regions. For this purpose, ...

    • Automatic detection of geospatial objects using multiple hierarchical segmentations 

      Akçay, H. G.; Aksoy, S. (Institute of Electrical and Electronics Engineers, 2008-07)
      The object-based analysis of remotely sensed imagery provides valuable spatial and structural information that is complementary to pixel-based spectral information in classification. In this paper, we present novel methods ...

    • Automatic detection of linear woody vegetation in agricultural areas 

      Akçay H.G.; Aksoy, S. (2009)
      Automatic mapping and monitoring of agricultural landscapes is an important research problem. In this paper, we present a method for automatic mapping of linear strips of woody vegetation in very high-resolution imagery. ...

    • Automatic detection of salient objects and spatial relations in videos for a video database system 

      Sevilmiş, T.; Baştan M.; Güdükbay U.; Ulusoy, Ö. (Elsevier BV, 2008-10)
      Multimedia databases have gained popularity due to rapidly growing quantities of multimedia data and the need to perform efficient indexing, retrieval and analysis of this data. One downside of multimedia databases is the ...

    • Automatic extraction of important objects for an MPEG-7 compliant video database system 

      Baştan, M.; Güdükbay, U.; Ulusoy Ö. (2008)
      We describe a method to automatically extract video objects, which are important for object-based indexing of videos in an MPEG-7 compliant video database system. Most of the existing salient object detection approaches ...

    • Automatic radar antenna scan type recognition in electronic warfare 

      Barshan, B.; Eravci, B. (Institute of Electrical and Electronics Engineers, 2011-10-04)
      We propose a novel and robust algorithm for antenna scan type (AST) recognition in electronic warfare (EW). The stages of the algorithm are scan period estimation, preprocessing (normalization, resampling, averaging), ...

    • Automatic rule learning exploiting morphological features for named entity recognition in Turkish 

      Tatar, S.; Cicekli I. (2011)
      Named entity recognition (NER) is one of the basic tasks in automatic extraction of information from natural language texts. In this paper, we describe an automatic rule learning method that exploits different features of ...

    • 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 ...

    • 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 ...

    • Cepstrum based feature extraction method for fungus detection 

      Yorulmaz O.; Pearson, T.C.; Çetin, A.E. (2011)
      In this paper, a method for detection of popcorn kernels infected by a fungus is developed using image processing. The method is based on two dimensional (2D) mel and Mellin-cepstrum computation from popcorn kernel images. ...

    • Classification of agricultural kernels using impact acoustic signal processing 

      Onaran, İbrahim (Bilkent University, 2006)
      The quality is the main factor that directly affects the price for many agricultural produces. The quality depends on different properties of the produce. Most important property is associated with health of consumers. ...

    • Classification of closed-and open-shell pistachio nuts using voice-recognition technology 

      Cetin, A. E.; Pearson, T. C.; Tewfik, A. H. (American Society of Agricultural and Biological Engineers, 2004)
      An algorithm using speech recognition technology was developed to distinguish pistachio nuts with closed shells from those with open shells. It was observed that upon impact with a steel plate, nuts with closed shells emit ...

    • Classification of multichannel ECoG related to individual finger movements with redundant spatial projections 

      Onaran I.; Ince, N.F.; Cetin, A.E. (2011)
      We tackle the problem of classifying multichannel electrocorticogram (ECoG) related to individual finger movements for a brain machine interface (BMI). For this particular aim we applied a recently developed hierarchical ...

    • A comparative analysis of different approaches to target differentiation and localization using infrared sensors 

      Aytaç, Tayfun (Bilkent University, 2006)
      This study compares the performances of various techniques for the differentiation and localization of commonly encountered features in indoor environments, such as planes, corners, edges, and cylinders, possibly with ...

    • Comparative study on classifying human activities with miniature inertial and magnetic sensors 

      Altun, K.; Barshan, B.; Tunçel, O. (Elsevier, 2010)
      This paper provides a comparative study on the different techniques of classifying human activities that are performed using body-worn miniature inertial and magnetic sensors. The classification techniques implemented and ...

    • Comparison of two methods of surface profile extraction from multiple ultrasonic range measurements 

      Barshan, B.; Backent, D. (Institute of Physics Publishing, 2000)
      Two novel methods for surface profile extraction based on multiple ultrasonic range measurements are described and compared. One of the methods employs morphological processing techniques, whereas the other employs a spatial ...

    • Computer vision based text and equation editor for LATEX 

      Öksüz Ö.; Güdükbay, U.; Çetin, E. (2004)
      In this paper, we present a computer vision based text and equation editor for LATEX. The user writes text and equations on paper and a camera attached to a computer records actions of the user. In particular, positions ...

    • 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 ...