Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Yoshinobu Hotta"'
Publikováno v:
IEICE Transactions on Information and Systems. :2087-2095
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9fb4d6d2f4fb3de92b14d468eab8dae
https://doi.org/10.1587/transinf.e96.d.2087
https://doi.org/10.1587/transinf.e96.d.2087
Publikováno v:
Pattern Recognition Letters. 31:1944-1951
This paper provides a sparse learning algorithm for Support Vector Classification (SVC), called Sparse Support Vector Classification (SSVC), which leads to sparse solutions by automatically setting the irrelevant parameters exactly to zero. SSVC adop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92873dc91068a6f4219394dd635d593f
https://doi.org/10.1016/j.patrec.2010.06.017
https://doi.org/10.1016/j.patrec.2010.06.017
Publikováno v:
International Journal of Computer Processing of Languages. 17:287-298
A handwritten Chinese address recognition (HCAR) system is proposed in this paper. Handwritten Chinese addresses are difficult to recognize because handwritten Chinese characters are characterized by a large vocabulary, complicated structure, irregul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ffb955cdd9f069af600b3464cf888e57
https://doi.org/10.1142/s0219427904001097
https://doi.org/10.1142/s0219427904001097
Publikováno v:
Systems and Computers in Japan. 33:104-113
Correctly recognizing characters with peculiarities for each writer is a difficult problem. The process of absorbing variations in individual writing by creating an individual dictionary is also difficult when a writer is not specified and the total
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::082cbd5401d5da426d04cc4239021ee7
https://doi.org/10.1002/scj.1146
https://doi.org/10.1002/scj.1146
Publikováno v:
ICPR
Text detection in natural scene images plays an important role in content-based image retrieval, especially user-guided text detection for human-computer interaction. In this paper, we propose a fast and accurate text detection method with user-inten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f2f4d620ac7f59513195279c51e5b542
https://doi.org/10.1109/icpr.2014.503
https://doi.org/10.1109/icpr.2014.503
Publikováno v:
ICIP
We propose an accurate and robust coarse-to-fine text detection scheme with user-intention which captures the intrinsic characteristics of natural scene texts. In the coarse detection stage, a double edge detector is designed to estimate the symmetry
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14f80be6d4c199a692cbff832aaac457
https://doi.org/10.1109/icip.2013.6738465
https://doi.org/10.1109/icip.2013.6738465
Publikováno v:
ISM
We propose a caption recognition method for multicolor characters on complex background. Caption characters are used for an efficient search on a large amount of recorded TV programs. In the caption character recognition, the caption appearance secti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24d4a81f531b2aad90b3e2ee06d9ac5c
https://doi.org/10.1109/ism.2012.83
https://doi.org/10.1109/ism.2012.83
Publikováno v:
Document Analysis Systems
This paper proposes a robust single-image super resolution method for enlarging low quality camera captured text image. The contribution of this work is twofold. First, we point out the non-local reconstruction problem in neighbor embedding based sup
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a939a65b1e97a50f413d309dbf8bd054
https://doi.org/10.1109/das.2012.52
https://doi.org/10.1109/das.2012.52
Publikováno v:
Document Analysis Systems
Captions in videos are important and accurate clues for video retrieval. In this paper, we propose a fast and robust video caption detection and localization algorithm to handle low quality video images. First, the stroke response maps from complex b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84faa2ec04d1889ac612f6145fa7a1f8
https://doi.org/10.1109/das.2012.2
https://doi.org/10.1109/das.2012.2
Autor:
Hiroaki Takebe, Noriaki Ozawa, Akihiro Minagawa, Wei Fan, Yutaka Katsuyama, Yoshinobu Hotta, Jun Sun
Publikováno v:
Image Processing: Algorithms and Systems / Parallel Processing for Imaging Applications
In recent years, various gesture recognition systems have been studied for use in television and video games[1]. In such systems, motion areas ranging from 1 to 3 meters deep have been evaluated[2]. However, with the burgeoning popularity of small mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4b115c6c63a0ed2ea88a3ec0c9a8976
https://doi.org/10.1117/12.906953
https://doi.org/10.1117/12.906953