Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Banu Oskay Acar"'
Autor:
Abdullah Kurt, Mustafa Agah Tekindal, Banu Oskay Acar, Deniz Anuk Ince, Aylin Tarcan, Ahmet Saracoglu, Ayşe Ecevit
Publikováno v:
Acta Paediatrica. 103:e340-e348
Aim Despite extensive research, there is still controversy regarding the time at which sucking and swallowing functions mature in preterm infants. This study aimed to evaluate maturation using the noninvasive method of swallowing sound. Methods We co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::417a0b95890e97666bbdfc8810ba62e3
https://doi.org/10.1111/apa.12686
https://doi.org/10.1111/apa.12686
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
Publikováno v:
ISCCSP
Audio segmentation is a well-known problem which can be considered from various angles. In the context of this paper, audio segmentation problem is to extract small "homogeneous" pieces of audio in which the content does not change in terms of the pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2f30bdbf8f20e856838b8af8e302189
https://doi.org/10.1109/isccsp.2014.6877956
https://doi.org/10.1109/isccsp.2014.6877956
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
Publikováno v:
2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).
Firearms leave special marks on the bullet while the bullet travels through the barrel. In this work, visual word codes obtained from interest points were used in bullet matching. Visual codebook was constructed by clustering Scale Invariant Feature
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::98c3dd07bf774830b87d08da0e296c28
https://doi.org/10.1109/siu.2011.5929662
https://doi.org/10.1109/siu.2011.5929662
Publikováno v:
2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU).
Auditory data contains important information about the content of multimedia data. This paper presents a method for content based event retrieval on broadcast audio. The aim of this study is to retrieve audio events from huge multimedia databases. 17
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ef73e0ab9969932f19d2207f75b94a1
https://doi.org/10.1109/siu.2011.5929669
https://doi.org/10.1109/siu.2011.5929669
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:
A. Aydin Alatan, Ersin Esen, Tolga Ciloglu, Ahmet Saracoglu, Egemen Ozalp, Tugrul K. Ates, Unal Zubari, Banu Oskay Acar, Ezgi Can Ozan
Publikováno v:
CBMI
Content Based Copy Detection (CBCD) emerges as a viable choice against active detection methodology of watermarking. The very first reason is that the media already under circulation cannot be marked and secondly, CBCD inherently can endure various s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8f0450dcf8dbe270617ce79e0501eea
https://doi.org/10.1109/cbmi.2009.12
https://doi.org/10.1109/cbmi.2009.12
Publikováno v:
2009 IEEE 17th Signal Processing and Communications Applications Conference.
Audio Copy Detection(ACD) problem has several difficulties due to signal distortions and huge amount of audio data to be searched. In this paper we propose a fast audio copy detection system which is very robust against common signal distortions.The
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ef6701e0037edef3a79cf68772f7e73
https://doi.org/10.1109/siu.2009.5136547
https://doi.org/10.1109/siu.2009.5136547
Publikováno v:
2009 IEEE 17th Signal Processing and Communications Applications Conference.
Content Based Copy Detection is an alternative approach to invisible watermarking for tracking duplicate data. Primary stages are creating a database using the features belonging to the original data and searching query data in terms of its features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::059382b5364387ec61ada87426f5544f
https://doi.org/10.1109/siu.2009.5136405
https://doi.org/10.1109/siu.2009.5136405