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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 55 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU 2013-03-14
17:30
Tokyo   Automatic Generation of Subjective Sentence from Image for Social Networking and Micro-blog Services
Hiroko Kobayashi, Nobuhiro Fujinawa, Hidenori Kuribayashi, Toyoharu Sasaki, Takeshi Matsuo, Shinichi Nakajima (Nikon) PRMU2012-203
Generating sentences from a given image is becoming an active area of research. Obtaining sentences
that objectively de... [more]
PRMU2012-203
pp.135-139
PRMU, MVE, IPSJ-CVIM
(Joint) [detail]
2013-01-23
10:00
Kyoto   Character String Extraction from Scene Images Using Direction Distribution of Edge Components and their Spatial Arrangements
Hideki Kitada, Toru Wakahara (Hosei Univ.) PRMU2012-85 MVE2012-50
This paper proposes a method for character string extraction from scene images using direction distribution of edge comp... [more] PRMU2012-85 MVE2012-50
pp.29-34
IBISML 2012-11-08
15:00
Tokyo Bunkyo School Building, Tokyo Campus, Tsukuba Univ. Auto-Colorization of Monochrome Images using Object Recognition and Markov Random Field
Hitoshi Matsuo, Takaki Makino (Univ. Tokyo) IBISML2012-83
We introduce a new auto-colorization method which appends color information to a monochrome picture based on a training ... [more] IBISML2012-83
pp.351-358
CPSY 2012-10-12
10:00
Hiroshima   A Type Identification Hardware Design in Computer-Aided Diagnosis System for Colorectal Endoscopic Images with NBI Magnification
Satoshi Shigemi, Tsubasa Mishima, Tetsushi Koide, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) CPSY2012-34
With the increase of colorectal cancer patients in recent years, the needs of quantitative evaluation of colorectal canc... [more] CPSY2012-34
pp.19-24
PRMU 2012-10-04
16:50
Chiba   Similarity estimation of clothing based on shape, color and texture
Kyoko Sudo, Jun Shimamura, Yukinobu Taniguchi (NTT) PRMU2012-61
For the analysis of personal preferences in purchase process of clothes
and the estimation of the items for recommendat... [more]
PRMU2012-61
pp.53-58
NC 2012-10-04
11:10
Fukuoka Kyushu Institute of Technology (Wakamatsu Campus) Human detection by gradient orientation histogram applied on local color correlation distributions
Ryo Matsumura, Akitoshi Hanazawa (KIT) NC2012-38
Histograms of Oriented Gradients (HOG) has been proposed as an effective feature for human detection. For HOG features, ... [more] NC2012-38
pp.11-16
PRMU, MI, IE 2011-05-19
11:00
Aichi   A System for Colorectal Endoscopic Images based on NBI Magnification Findings
Junki Yoshimuta, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Yoshito Takemura, Shigeto Yoshida, Shinji Tanaka (Hiroshima Univ.) IE2011-11 PRMU2011-3 MI2011-3
Our research objective is to classify magnified endoscopic images of colorectal tumours into 3 types (Type A, B, and C3)... [more] IE2011-11 PRMU2011-3 MI2011-3
pp.13-18
RCS, MoNA, SR
(Joint)
2011-03-02
09:40
Kanagawa YRP Practical Kalman Filter based Channel Estimation in MIMO-OFDM Systems
Takahiro Natori, Nari Tanabe, Hideaki Matsue (Tokyo Univ. of Science , Suwa), Toshihiro Furukawa (Tokyo Univ. of Science) RCS2010-258
This paper proposed the channel gain estimation method with Kalman filter theory for MIMO-OFDM communication. The propos... [more] RCS2010-258
pp.61-66
PRMU 2011-02-18
10:30
Saitama   A Report on the TRECVID 2010 Instance Search Task
Takahito Kawanishi, Akisato Kimura, Kunio Kashino (NTT), Shin'ichi Satoh, Duy-Dinh Le, Xiaomeng Wu, Sebastien Poullot (NII) PRMU2010-220
As a first step to the instance search task of TRECVID 2010, we employed several existing image retrieval methods in com... [more] PRMU2010-220
pp.81-86
HCGSYMPO
(2nd)
2010-12-15
- 2010-12-17
Miyazaki Miyazaki Seagai resort Salience-Preserving High-speed Color Removal Method
Toshiaki Yamanouchi (KAIT)
Visually important image features often disappear when color images are converted to grayscale by conventional method. T... [more]
IMQ
(2nd)
2010-10-29
15:30
Hyogo   [Invited Talk] Multi-Primary Color Display Technologies
Yasuhiro Yoshida, Yuichi Yoshida, Tomohiko Mori, Makoto Hasegawa, Kazunari Tomizawa, Akiko Yoshida, Kazuyoshi Yoshiyama, Hiroyuki Furukawa, Shigeki Imai (SHARP)
The multi-primary color (MPC) technology is quite newly developed to realize not only wide gamut which includes almost a... [more]
HIP, ITE-HI, ITE-CE 2010-10-14
15:55
Miyagi RIEC An fMRI study on the binding of color and motion features
Shingo Nakamura (Tohoku Univ), Ichiro Kuriki, Kazumichi Matsumiya, Rumi Tokunaga, Satoshi Shioiri (Tohoku Univ/RIEC) HIP2010-51
How a brain combines different visual features, such as color and motion is one of the most important questions in visua... [more] HIP2010-51
pp.25-29
SIS 2010-06-10
14:25
Hokkaido Abashiri Public Auditorium Similar Image Retrieval by Using Features of an Object in a Reference Image
Shota Maeda, Hiroshi Kudo, Mitsuji Muneyasu, Yoshiko Hanada (Kansai Univ.) SIS2010-8
Several similar image retrieval techniques based on the feature of an object in an image have been proposed. Ordinarily,... [more] SIS2010-8
pp.43-48
PRMU 2009-11-27
13:30
Ishikawa Ishikawa Industrial Promotion Center Application of High-speed 3D Object Recognition in the Real World Using Integral Features and Linear Subspace Method
Asako Kanezaki, Tatsuya Harada, Yasuo Kuniyoshi (Univ. of Tokyo.) PRMU2009-123
As a previous work, we proposed a method of high-speed 3D object recognition using linear subspace method and our 3D fea... [more] PRMU2009-123
pp.207-212
HIP 2009-10-30
14:10
Fukuoka Kyushu Univ. Effects of modulation direction of dichoptic chromatic masking on contrast sensitivity of chromatic stimulus
Naruhiko Fukino, Keiji Uchikawa (Tokyo Inst. of Tech.) HIP2009-90
Abstract It is well known that tree types of cones and opponent color channels exist in the our color vision system. Re... [more] HIP2009-90
pp.87-90
CAS, NLP 2009-09-25
09:25
Hiroshima Hiroshima Univ. Higashi Senda Campus Image Segmentation Algorithm with Parameter Self-Adjustment Considering the Image Characteristic
Ryosuke Kimura, Tatsuya Sugahara, Tomoya Renge, Tetsushi Koide, Hans Juergen Mattausch (Hiroshima Univ.) CAS2009-37 NLP2009-73
In this report, we propose a self adjustment technique of the growth-deciding parameters for a region-growing image-segm... [more] CAS2009-37 NLP2009-73
pp.77-82
PRMU, IE, MI 2009-05-29
13:30
Gifu Gifu Univ. Performance Evaluation on Content-Based Copy Detection Based on Color Layout Descriptor
Yusuke Uchida, Masaru Sugano, Masayuki Hashimoto, Akio Yoneyama (KDDI R&D Labs) IE2009-38 PRMU2009-29 MI2009-29
Recently, Content-Based Copy Detection (CBCD), sometimes referred to as fingerprinting, attracts considerable attention ... [more] IE2009-38 PRMU2009-29 MI2009-29
pp.159-164
IE, ITS, ITE-HI, ITE-ME, ITE-AIT 2009-02-05
16:10
Hokkaido Graduate School of Information Science and Technology Hokkaido Univ Image Segmentation Based on Color Quantization Using Self-Organizing Map
Shota Izumi, Akihiro Tabata, Junji Maeda (Muroran Inst. of Tech.) ITS2008-77 IE2008-247
This paper presents the color quantization of an image using a self-organizing map (SOM) and image segmentation.
We tr... [more]
ITS2008-77 IE2008-247
pp.245-250
PRMU 2008-12-19
09:30
Kumamoto Kumamoto Univ. Image Matching using Bayesian Networks Constructed out of Local Color Features
Nao Matsumura, Hajimu Kawakami (Ryukoku Univ) PRMU2008-169
Image matching method based on distribution of pixel values
has been proposed. We propose extending the distribution ... [more]
PRMU2008-169
pp.129-134
PRMU 2008-12-19
10:00
Kumamoto Kumamoto Univ. Cascaded Traffic Sign Detector Using Generative Learning Considering Color Variance
Keisuke Doman, Daisuke Deguchi (Nagoya Univ.), Tomokazu Takahashi (Gifu Shotoku Gakuen Univ.), Yoshito Mekada (Chukyo Univ.), Ichiro Ide, Hiroshi Murase (Nagoya Univ.) PRMU2008-170
A robust and real-time detection of traffic signs is important to support safe-driving.
Viola et al. have proposed a ro... [more]
PRMU2008-170
pp.135-140
 Results 21 - 40 of 55 [Previous]  /  [Next]  
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