Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Tugrul K. Ates"'
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ea10802f5f528202de853d05e1df7be
https://doi.org/10.1007/s11042-013-1564-z
https://doi.org/10.1007/s11042-013-1564-z
Autor:
Duygu Oskay Onur, Tugrul K. Ates, Tolga Ciloglu, Ahmet Saracoglu, A. Muge Sevinc, Unal Zubari, Talha Karadeniz, A. Aydin Alatan, Ezgi Can Ozan, Ersin Esen, Savas Ozkan, Seda Tankiz, Banu Oskay Acar, Ilkay Atil, Sezin Selçuk, Berker Logoglu, Hakan Sevimli, Mashar Tekin, Medeni Soysal, Mehmet Ali Arabaci
Publikováno v:
SIU
Concept detection stands as an important problem for many applications like efficient indexing and retrieval in large video archives. In this work, for detection of diverse and distinct concepts a concept detection system (KavTan) that combines a var
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f01787996f21913138b7bba38b13942e
https://doi.org/10.1109/siu.2012.6204547
https://doi.org/10.1109/siu.2012.6204547
Autor:
Tugrul K. Ates, A. Aydin Alatan
Publikováno v:
2011 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON).
Generating in-between images from multiple views of a scene is a crucial task for both computer vision and computer graphics fields. Photorealistic rendering, 3DTV and robot navigation are some of many applications which benefit from arbitrary view s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a750f2d10dd3e1b496de11eebc50d378
https://doi.org/10.1109/3dtv.2011.5877214
https://doi.org/10.1109/3dtv.2011.5877214
Autor:
A. Aydin Alatan, Tugrul K. Ates
Publikováno v:
2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).
Generating in-between images from multiple views of a scene is a crucial task for both computer vision and computer graphics fields. Photorealistic rendering, 3DTV and robot navigation are some of many applications which benefit from arbitrary view s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98a6d03f561027abb4114be60e622176
https://doi.org/10.1109/siu.2011.5929826
https://doi.org/10.1109/siu.2011.5929826
Publikováno v:
2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).
Immense increase in the number of multimedia content accessible from television and internet with the help developing technologies reveals efficient supervision and classification of such content as a problem. Relevance feedback is a technique which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b177b93ca5f13804e88d7445dbf16b2
https://doi.org/10.1109/siu.2011.5929823
https://doi.org/10.1109/siu.2011.5929823
Publikováno v:
2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).
Invisible watermarking is one of the possible approaches to control digital media resources which are growing day by day, eliminate redundant data, and maintain copyright of original videos. This paper presents a Content Based Video Copy Detection me
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81097ad12780bc2b33fc4ceae3abb313
https://doi.org/10.1109/siu.2011.5929717
https://doi.org/10.1109/siu.2011.5929717
Autor:
Ezgi Can Ozan, Mashar Tekin, Adnan Yazici, A. Aydin Alatan, Ahmet Saracoglu, Ersin Esen, Hakan Sevimli, Tugrul K. Ates, Ayça Müge Sevinç, K. Berker Logoglu
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789048197934
ISCIS
ISCIS
A method for adult content classification and nudity detection is presented. Objective of this method is to classify images into different classes, varying on the degree of adult content. We utilize MPEG-7 descriptors to represent visual information.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::405d29a983b7e1c8b15c0295a468d492
https://doi.org/10.1007/978-90-481-9794-1_49
https://doi.org/10.1007/978-90-481-9794-1_49
Autor:
Ozan Oktay, Yakup Turgut, Medeni Soysal, Tugrul K. Ates, A. Aydin Alatan, Ahmet Saracoglu, Ersin Esen
Publikováno v:
2010 IEEE 18th Signal Processing and Communications Applications Conference.
Content Based Copy Detection, one of the emerging areas on detection of video copies is an alternative approach to invisible watermarking. It depends on detection of copies with fingerprints extracted from the content, which are robust against attack
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eefbb614bf995faf77d9ee0a6d11ba0
https://doi.org/10.1109/siu.2010.5654395
https://doi.org/10.1109/siu.2010.5654395
Autor:
Banu Oskay Acar, Unal Zubari, Hakan Sevimli, A. Aydi Alatan, Ersin Esen, Ezgi Can Ozan, K. Berker Logoglu, Tugrul K. Ates, A. Muge Sevinc, Ahmet Saracoglu, Medeni Soysal, Mashar Tekin
Publikováno v:
2010 IEEE 18th Signal Processing and Communications Applications Conference.
For efficient indexing and retrieval of video archives, concept detection stands as an important problem. In this work, a generalized structure that can be used for detection of diverse and distinct concepts is proposed. In the system, MPEG-7 Descrip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::836378fe90f502fb94c8f3f7537b5e6e
https://doi.org/10.1109/siu.2010.5650360
https://doi.org/10.1109/siu.2010.5650360
Autor:
K. Berker Logoglu, Tugrul K. Ates
Publikováno v:
2010 IEEE 18th Signal Processing and Communications Applications Conference.
Sample correlation coefficient is used widely for finding signal similarity in data processing, multimedia, pattern recognition and artificial intelligence applications. Pearson Correlation Coefficient is the most common measure for the correlation c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4aa930638515beab70df11525939c20
https://doi.org/10.1109/siu.2010.5654411
https://doi.org/10.1109/siu.2010.5654411