Now showing items 1-20 of 56

    • Automated detection of objects using multiple hierarchical segmentations 

      Akçay H. Gökhan; Aksoy, Selim (IEEE, 2007-07)
      We introduce an unsupervised method that combines both spectral and structural information for automatic object detection. First, a segmentation hierarchy is constructed by combining structural information extracted by ...
    • Bağlamsal çıkarımla nesne sezimi 

      Kalaycılar, Fırat; Aksoy, Selim (IEEE, 2009-04)
      Bu bildiride, sezim başarımını arttırmada tek tek sezilmiş nesneler arasındaki bağlamsal ilişkilerden yararlanan bir nesne sezim sistemi tanıtılmaktadır. Bu çalışmadaki ilk katkı, iki boyutlu görüntü uzayında yapılan ...
    • 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 ...
    • Building detection using directional spatial constraints 

      Akçay, H. Gökhan; Aksoy, Selim (IEEE, 2010)
      We propose an algorithm for automatic detection of buildings with complex shapes and roof structures in very high spatial resolution remotely sensed images. First, an initial oversegmentation is obtained. Then, candidate ...
    • The COST292 experimental framework for TRECVID 2007 

      Zhang, Q.; Corvaglia, M.; Aksoy, Selim; 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. ...
    • Çizge kesit yöntemi ile hiperspektral görüntülerde anomali tabanlı hedef tespiti 

      Batı, E.; Erdinç, Acar; Çeşmeci, D.; Çalışkan, A.; Koz, A.; Aksoy, Selim; Ertürk, S.; Alatan, A. A. (IEEE, 2015-05)
      Hiperspektral hedef tespiti için yürütülen çalışmalar genel olarak iki sınıfta degerlendirilebilir. İlk sınıf olan anomali tespit yöntemlerinde, hedefin görüntünün geri kalanından farklı oldugu bilgisi kullanılarak görüntü ...
    • Deep feature representations for variable-sized regions of ınterest in breast histopathology 

      Mercan, C.; Aygüneş, Bulut; Aksoy, Selim; Mercan, E.; Shapiro, L. G.; Weaver, D. L.; Elmore, J. G. (IEEE, 2021)
      Objective: Modeling variable-sized regions of interest (ROIs) in whole slide images using deep convolutional networks is a challenging task, as these networks typically require fixed-sized inputs that should contain ...
    • Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks 

      Geçer, Barış; Aksoy, Selim; Mercan, E.; Shapiro, L. G.; Weaver, D. L.; Elmore, J. G. (Elsevier, 2018)
      Generalizability of algorithms for binary cancer vs. no cancer classification is unknown for clinically more significant multi-class scenarios where intermediate categories have different risk factors and treatment strategies. ...
    • Detection of compound structures by region group selection from hierarchical segmentations 

      Akçay, H. Gökhan; Aksoy, Selim (IEEE, 2016-07)
      Detection of compound structures that are comprised of different arrangements of simpler primitive objects has been a challenging problem as commonly used bag-of-words models are limited in capturing spatial information. ...
    • Detection of compound structures using clustering of statistical and structural features 

      Akçay, H. Gökhan; Aksoy, Selim (IEEE, 2012)
      We describe a new method for detecting compound structures in images by combining the statistical and structural characteristics of simple primitive objects. A graph is constructed by assigning the primitive objects to its ...
    • Detection of compound structures using hierarchical clustering of statistical and structural features 

      Akçay, H. Gokhan; Aksoy, Selim (IEEE, 2011)
      We describe a new procedure that combines statistical and structural characteristics of simple primitive objects to discover compound structures in images. The statistical information that is modeled using spectral, shape, ...
    • Detection of compound structures using multiple hierarchical segmentations 

      Akçay, Hüseyin Gökhan; Aksoy, Selim (IEEE, 2014)
      In this paper, we present a method for automatic compound structure detection in high-resolution images. Given a query compound structure, our aim is to detect coherent regions with similar spatial arrangement and ...
    • Detection of compound structures using multiple hierarchical segmentations 

      Akçay, H. Gökhan; Aksoy, Selim (IEEE, 2012)
      In this paper, our aim is to discover compound structures comprised of regions obtained from hierarchical segmentations of multiple spectral bands. A region adjacency graph is constructed by representing regions as vertices ...
    • Detection of heterogeneous structures using hierarchical segmentation 

      Akçay, H. Gokhan; Aksoy, Selim (IEEE, 2011)
      We present an unsupervised hierarchical segmentation algorithm for detecting complex heterogeneous image structures that are comprised of simpler homogeneous primitive objects. The first step segments primitive objects ...
    • E-museum: web-based tour and information system for museums 

      Baştanlar, Y.; Altıngövde, İsmail Şenol; Aksay, A.; Alav, O.; Çavuş, Özge; Yardımcı, Y.; Ulusoy, Ozgur; Güdükbay, Uğur; Çetin, A. Enis; Akar, G. B.; Aksoy, Selim (IEEE, 2006)
      A web-based system - consisting of data entrance, access and retrieval modules - is constructed for museums. Internet users that visit the e-museum, are able to view the written and visual information belonging to the ...
    • Finding compound structures in images using image segmentation and graph-based knowledge discovery 

      Zamalieva, Daniya; Aksoy, Selim; Tilton J. C. (IEEE, 2009-07)
      We present an unsupervised method for discovering compound image structures that are comprised of simpler primitive objects. An initial segmentation step produces image regions with homogeneous spectral content. Then, the ...
    • Fine-grained object recognition and zero-shot learning in multispectral imagery 

      Sümbül, Gencer; Aksoy, Selim; Cinbiş, R. G. (IEEE, 2018)
      We present a method for fine-grained object recognition problem, that aims to recognize the type of an object among a large number of sub-categories, and zero-shot learning scenario on multispectral images. In order to ...
    • From patch-level to ROI-level deep feature representations for breast histopathology classification 

      Mercan, Caner; Aksoy, Selim; Mercan, E.; Shapiro, L. G.; Weaver, D. L.; Elmore, J. G. (SPIE, 2019)
      We propose a framework for learning feature representations for variable-sized regions of interest (ROIs) in breast histopathology images from the convolutional network properties at patch-level. The proposed method involves ...