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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 33  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-13
11:10
Okinawa Okinawa Sangyo Shien Center
(Primary: On-site, Secondary: Online)
Emotion Estimation for Advertising Images in Virtual Space by DNN Using Bio-signals and Physical Features of Images
Naho Inoue, Maki Kubo, Wataru Kameyama (Waseda Univ.), Masafumi Hashimoto, Yuki Yamauchi, Kunitomo Sasaki, Natsuko Minegishi (Konica Minolta, Inc.) CQ2023-70
Since the proportion of time spent and consumption in metaverse is expected to explode in the near future, we have been ... [more] CQ2023-70
pp.1-6
NC, MBE
(Joint)
2023-03-14
16:15
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Detection of eye blink features : a comparison of using eyelid shape and electrooculogram
Yuya Suzuki, Shin'ichiro Kanoh (SIT) MBE2022-66
Eye blink is an important source for detecting the mental state such as emotion and arousal level. Features of eye blink... [more] MBE2022-66
pp.38-42
PRMU 2022-09-14
10:45
Kanagawa
(Primary: On-site, Secondary: Online)
PRMU2022-13 In this paper, we propose an image correspondence method using machine learning and improve the accuracy of camera param... [more] PRMU2022-13
pp.19-24
PRMU 2021-12-17
10:30
Online Online Automatic estimation of sleep state by multi-view video analysis
Naoyuki Ebata, Shinya Fukumoto, Masayuki Kashima, Mutumi Watanabe, Hitoshi Sakimoto, Takanori Ishizuka, Masayuki Nakamura (Kagoshima Univ) PRMU2021-44
We have developed a method for estimating the stage of sleep by analyzing video from two viewpoints. One is to extract f... [more] PRMU2021-44
pp.107-112
HIP 2021-10-21
10:35
Online Online Estimations of emotional impression for emotion-evoking pictures using eye information
Minoru Nakayama (Tokyo Tech.) HIP2021-31
Regression predicted ratings of valence and arousal for presented images were evaluated using relationships between ocul... [more] HIP2021-31
pp.7-12
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
13:00
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Area discrimination of broadleaf or conifer from forest image using texture features
Jun Osada, Misato Ushiro, Yuukou Horita (Univ. of Toyama) IMQ2019-59 IE2019-141 MVE2019-80
Forest conservation is one of the main themes of the promotion of the SDGs, and it plays an important role in the preser... [more] IMQ2019-59 IE2019-141 MVE2019-80
pp.227-230
IT, EMM 2016-05-19
15:10
Hokkaido Otaru Economic Center Study of Photo-realistic Face Moving Image Generation from the Text Using the Facial Feature
Kazuki Sato, Takashi Nose, Akinori Ito (Tohoku Univ.) IT2016-8 EMM2016-8
In this paper, we propose face moving image synthesis technique based on Hidden Markov model (HMM) using the facial feat... [more] IT2016-8 EMM2016-8
pp.43-48
MI 2015-03-03
09:36
Okinawa Hotel Miyahira Generation of CT images at arbitrary time phase using chest 4D-CT images
Michiaki Nakagawa, Yasushi Hirano, Shoji Kido (Yamaguchi Univ.) MI2014-91
Recently,development of Computer-Aided Diagnosis(CAD)technology is remarkable. CAD technologies for respiratory system a... [more] MI2014-91
pp.177-182
PRMU, IPSJ-CVIM, MVE [detail] 2015-01-23
14:50
Nara   Extraction of Touching Object Regions Using Image and Depth Sequences
Katsuya Sugawara, Toru Abe, Takuo Suganuma (Tohoku Univ.) PRMU2014-107 MVE2014-69
Usually, precise discrimination among person's activities requires the recognition of not only the person's posture and ... [more] PRMU2014-107 MVE2014-69
pp.245-250
NLC, IPSJ-NL, SP, IPSJ-SLP, JSAI-SLUD
(Joint) [detail]
2014-12-16
11:00
Kanagawa Tokyo Institute of Technology (Suzukakedai Campus) Multimodal Voice Conversion using Weighted Features in Noisy Environments
Kenta Masaka, Ryo Aihara, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2014-116
Voice conversion is a technique for converting specific information in speech while maintaining the other information, s... [more] SP2014-116
pp.87-92
PRMU 2014-03-13
09:30
Tokyo   Person Retrieval System for Surveillance Video Analysis using Multi-Perspective Features
Yuki Watanabe, Daisuke Matsubara, Kenichi Yoneji, Tomoaki Yoshinaga, Nobuo Nukaga, Atsushi Hiroike (Hitachi) PRMU2013-172
We developed a person retrieval system for surveillance video analysis, which can search target person using multi-persp... [more] PRMU2013-172
pp.25-30
CQ, MVE, IE, IMQ, CEA
(Joint) [detail]
2014-03-07
14:55
Oita Beppu International Convention Center Scene Duplicate Detection from News Videos by Sub-Region-based Motion Matching of a Face
Haruka Kumagai (Nagoya Univ.), Keisuke Doman (Chukyo Univ.), Ichiro Ide, Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) IMQ2013-75 IE2013-184 MVE2013-113
In this report, we propose a method to detect scene duplicates from news videos. Scene duplicates are video clips taking... [more] IMQ2013-75 IE2013-184 MVE2013-113
pp.249-254
PRMU, CNR 2014-02-14
16:40
Fukuoka   Single Finger Character Recognition using Depth Image
Kai Inoue, Tomoki Koyama, Takeshi Saitoh (Kyushu Inst. of Tech.) PRMU2013-167 CNR2013-75
Finger character (or finger spelling) is the visual language which made the hand shape correspond to a letter. A number ... [more] PRMU2013-167 CNR2013-75
pp.195-199
EMM, EA 2013-11-15
10:15
Hiroshima Prefectural University of Hiroshima, Satellite Campus Hiroshima Evaluation of an Application Search Interface Providing Multi-faceted Navigation
Tomoko Kajiyama (Aoyama Gakuin Univ.) EA2013-79 EMM2013-79
We improved a ring-structured graphical search interface and developed an iPhone application for application search name... [more] EA2013-79 EMM2013-79
pp.65-70
RECONF 2013-09-18
14:20
Ishikawa Japan Advanced Institute of Science and Technology [Invited Talk] Study on Processor Architecture for Image Recognition
Masayuki Miyama (Kanazawa Univ.) RECONF2013-20
This paper proposes a novel classification method using gradient moments as image features. The quantity
can also be us... [more]
RECONF2013-20
pp.1-6
SIP, CAS, CS 2013-03-15
15:10
Yamagata Keio Univ. Tsuruoka Campus (Yamagata) A Study on Multimodal Biometrics Authentication Method Using Features in Utterance
Takeshi Nishino, Yoshinobu Kajikawa, Mitsuji Muneyasu (Kansai Univ.) CAS2012-141 SIP2012-172 CS2012-147
In this paper, we propose a biometrics authentication method using multimodal features in utterance.
The multimodal fea... [more]
CAS2012-141 SIP2012-172 CS2012-147
pp.259-264
MBE 2013-01-25
17:05
Fukuoka Kyushu Institute of Technologyy A Study on Finger Character Recognition using Kinect
Kai Inoue, Takeshi Saitoh (KIT) MBE2012-81
We propose a finger character recognition method using Microsoft Kinect. In our proposed method, we automatically extrac... [more] MBE2012-81
pp.45-50
PRMU, IBISML, IPSJ-CVIM
(Joint) [detail]
2012-09-02
11:00
Tokyo   A Compensation Method of Motion Features with Regression for Defective Depth Image
Ryo Yumiba (Hitachi), Yoshiki Agata, Hironobu Fujiyoshi (Chubu Univ) PRMU2012-35 IBISML2012-18
In this paper, we propose a method for compensating motion features utilizing regression estimate based on correlation b... [more] PRMU2012-35 IBISML2012-18
pp.37-42
EMM, IE, LOIS, ITE-ME, IEE-CMN [detail] 2012-08-28
11:45
Yamaguchi   Real-time Finger Character Recognition using Range Image
Kai Inoue, Takeshi Saitoh (KIT) LOIS2012-27 IE2012-59 EMM2012-50
This paper proposes a real-time method for recognizing finger character using range image. At first, we automatically ex... [more] LOIS2012-27 IE2012-59 EMM2012-50
pp.87-92
PRMU, HIP 2012-03-30
11:40
Hyogo   Evaluating the Effectiveness of Virtual Reality Technique for Query-by-Example Video Retrieval
Kimiaki Shirahama, Tomomi Koumura, Kuniaki Uehara (Kobe Univ.) PRMU2011-269 HIP2011-97
Query-By-Example (QBE) retrieves shots which contain similar features (e.g., color, edge and motion) to those of example... [more] PRMU2011-269 HIP2011-97
pp.183-188
 Results 1 - 20 of 33  /  [Next]  
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