Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Ilkay Atil"'
Autor:
Ufuk Sakarya, F. Fehmi Şimşek, Bulent Avenoglu, Pınar Uçmak, Aziz Koru, Erdinç Berke, Ramazan Küpçü, Hüsne Seda Deveci, Ali Ömer Kozal, Can Demirkesen, Mustafa Teke, Ismail Tevrizoglu, A. Feray Öztoprak, H. Özen, Sevgi Zubeyde Gurbuz, Mehmet Efendioglu, Derya Kaya, Eda Ersöz, Ilkay Atil, Ibrahim Serdar Acikgoz, Ismail Hakki Demirhan
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLI-B8, Pp 1341-1347 (2016)
Turkey is a county that experiences rapid socioeconomic development, which, in turn, leads to high urbanization rates due to migration of people from rural to urban areas, many large-scale development projects (e.g. highways, dams, housing and infras
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::404d9e15d55668b3b34ae0e79f000c96
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/1341/2016/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/1341/2016/
Autor:
Savas Ozkan, Müge Sevinç, Tolga Ciloglu, Ahmet Saracoglu, Ilkay Atil, Mashar Tekin, Hakan Sevimli, Mehmet Ali Arabaci, A. Aydin Alatan, Ersin Esen, Sezin Selçuk, Duygu Oskay Onur, Ezgi Can Ozan, Banu Oskay Acar, Talha Karadeniz, K. Berker Logoglu, Tugrul K. Ates, Seda Tankiz, Medeni Soysal
Publikováno v:
Multimedia Tools and Applications. 72:2787-2832
Concept detection stands as an important problem for efficient indexing and retrieval in large video archives. In this work, the KavTan System, which performs high-level semantic classification in one of the largest TV archives of Turkey, is presente
Publikováno v:
SIU
In this paper, we present a novel visual content search approach that can query quite fast, have low memory need and achieve successful results particularly for the instances with minor content changes. For this purpose, first, the content of a video
Autor:
Ilkay Atil, Ersin Esen
Publikováno v:
SIU
In this work, we compare the effect of using different decision fusion methods on the detection performance of a steganalysis system. It has been shown that different steganalysis features has different detection rates for different steganography met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7396e18ebe582a88b573e0640098e1d5
https://aperta.ulakbim.gov.tr/record/98455
https://aperta.ulakbim.gov.tr/record/98455
Publikováno v:
SIU
In this paper, we present an approach that can detect scene nudity level with high precision using different deep net configurations. For this purpose, a recent approach [1] which has intense and very deep convolution layers is used. During net model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2578d4cea2bee05e0f408b107635f161
https://aperta.ulakbim.gov.tr/record/98769
https://aperta.ulakbim.gov.tr/record/98769
Autor:
Sinan Kalkan, Ilkay Atil
Many cognitive scientists now agree that artificial cognition might be probably achieved developmentally, starting from a set of basic-level premature capabilities and incrementally self-extending itself with experience through discrete or continuous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c10661a1a90e8664cbad1f3ab9435ff
https://hdl.handle.net/11511/42267
https://hdl.handle.net/11511/42267
Autor:
Ilkay Atil, Ersin Esen
Publikováno v:
SIU
In this study, we analyze the effect of standart image processing methods on highly successive steganalysis methods of the literature. As a result, we observed the changes in accuracy of steganalysis methods after we polluted the image data sets with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65edc7e7664a1607c9316a6703d3245b
https://aperta.ulakbim.gov.tr/record/100641
https://aperta.ulakbim.gov.tr/record/100641
Publikováno v:
ICME Workshops
Better ways of representing the results of image search can be found rather than regular lists of thumbnails. For this purpose, we propose a hierarchical visualisation scheme with two stages. We utilise the notion of image community and aim to detect
Publikováno v:
CBMI
In this work, we propose a novel community detection method that is specifically designed for image communities. We define image community as a coherent subgroup of images within a large set of images. In order to detect image communities, we constru
Publikováno v:
SIU
In this work, we propose a new method which can detect image communities inside an image set. The proposed method differs from previous works by representing image relations with directed graphs and performing community anaysis on these directed grap