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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU, IPSJ-CVIM | 2023-05-19 09:20 |
Aichi | (Primary: On-site, Secondary: Online) |
Learning static NeRF representations from video using 2D segmentation masks Takashi Otonari (Tokyo Univ.), Satoshi Ikehata (NII), Kiyoharu Aizawa (Tokyo Univ.)  PRMU2023-7 |
In this paper, we tackle the problem of extracting static backgrounds from videos containing moving objects, such as peo... [more] | PRMU2023-7 pp.33-38 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 09:10 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Unknown Object Segmentation by View Independent Scene Change Detection Li Jiaxin (Nagoya Univ.), Yasutomo Kawanishi (RIKEN), Daisuke Deguchi, Hiroshi Murase (Nagoya Univ.) PRMU2022-99 IBISML2022-106 |
Exploring the indoor environment and finding unknown objects that appeared in a scene is important for scene understandi... [more] | PRMU2022-99 IBISML2022-106 pp.211-216 |
| NLC, IPSJ-IFAT | 2019-02-07 14:45 |
Kyoto | Ryukoku University Omiya Campus | Call Scene Segmentation based on Neural Networks with Conversational Contexts Ryo Masumura, Tomohiro Tanaka, Atsushi Ando, Hosana Kamiyama, Takanobu Oba, Yushi Aono (NTT) NLC2018-39 |
Call scene segmentation that automatically splits contact center dialogues into several call scenes is useful for constr... [more] | NLC2018-39 pp.21-26 |
| PRMU | 2017-10-12 14:30 |
Kumamoto | [Short Paper]
Research of Automatic Scene Segmentation for Video Summary Generation based on Deep Learning Yuki Futami, Masayuki Kashima, Shinya Fukumoto, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.) PRMU2017-78 |
Huge amount of video contents are handled routinely. The video is divided into scenes that consists of semantic cluster... [more] |
PRMU2017-78 pp.91-92 |
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| PRMU | 2014-12-12 11:00 |
Fukuoka | A study on video segmentation method for egocentric videos based on appearance change Satoshi Ueno, Sei Naito (KDDI R&D Labs.) PRMU2014-78 |
In this paper, we propose a video segmentation method for egocentric videos of maintenance task for communication facili... [more] | PRMU2014-78 pp.75-78 |
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| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2014-02-17 11:00 |
Hokkaido | Hokkaido Univ. | Extraction of Character Regions from Color Scene Images with Complex Background Yousuke Iwami, Ryusuke Nakamae, Junji Maeda (Muroran Inst. of Tech.) ITS2013-35 IE2013-100 |
The purpose of this research is to extract the character regions from color scene images with complex background such as... [more] | ITS2013-35 IE2013-100 pp.31-36 |
| PRMU | 2013-06-11 15:00 |
Tokyo | Motion recognition by Time-space Continuous Dynamic Programming Using a Sequence Model of Object Independent Pixels Yuki Nitsuma, Syunpei Torii, Yuichi Yaguchi, Ryuichi Oka (Univ Aizu) PRMU2013-30 |
In the matching method called time-space continuous dynamic programming (TSCDP) for recognizing motions, a reference p... [more] |
PRMU2013-30 pp.65-70 |
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| 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 |
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| CQ, MVE, IE (Joint) [detail] |
2011-03-08 13:30 |
Nagasaki | Yasuragi IOUJIMA | Scene Segmentation of a Wedding Party Video by Scenario-based Matching with Example Videos Kazuki Sawai (Nagoya Univ.), Tomokazu Takahashi (Gifu Syotoku Gakuen Univ.), Daisuke Deguchi, Ichiro Ide, Hiroshi Murase (Nagoya Univ.) IE2010-173 MVE2010-161 |
This report proposes a method for segmenting a wedding party video into scenes of party events based on its program; a s... [more] | IE2010-173 MVE2010-161 pp.159-164 |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2011-02-21 16:25 |
Hokkaido | Hokkaido University | A note on accurate scene segmentation based on the MCMC method using object matching Yan Song, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) ITS2010-46 IE2010-121 |
This paper proposes an accurate scene segmentation method based on the Markov Chain Monte Carlo (MCMC) algorithm using o... [more] | ITS2010-46 IE2010-121 pp.131-135 |
| CAS, MSS, VLD, SIP | 2010-06-22 10:40 |
Hokkaido | Kitami Institute of Technology | A study on accurate scene segmentation based on the MCMC method utilizing video structures Yan Song, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) CAS2010-21 VLD2010-31 SIP2010-42 CST2010-21 |
This paper proposes a video scene segmentation method based on Markov Chain Monte Carlo(MCMC) method utilizing video str... [more] | CAS2010-21 VLD2010-31 SIP2010-42 CST2010-21 pp.115-120 |
| ITS, IEE-ITS | 2010-03-09 16:40 |
Kyoto | Kyoto Univ. | Localization and Navigation of Autonomous Robots Using Scene Images Masaki Shimizu, Yasunori Nagasaka (Chubu Univ.) ITS2009-100 |
An electric wheel-chair based autonomous robot and its navigation system using segmentation of scene images was investig... [more] | ITS2009-100 pp.89-94 |
| ITE-AIT, IE, ITE-HI, ITE-ME, ITS | 2010-02-15 15:50 |
Hokkaido | Graduate School of Information and Technology, Hokkaido Univ. | An accurate scene segmentation method based on video structure analysis using PLSA
-- A note on definition of new shot similarity by sequence alignment -- Makoto Yamamoto, Miki Haseyama (Hokkaido Univ.) ITS2009-58 IE2009-152 |
A method for accurate scene segmentation based on video structure analysis using sequences of continuous shots in audiov... [more] | ITS2009-58 IE2009-152 pp.123-128 |
| PRMU | 2009-06-18 10:15 |
Hokkaido | Hokkaido Univ. | Segmentation and Object Recognition in Road Scenes Using Multi-scale Semantic Bag of Textons Method Yousun Kang, Koichiro Yamaguchi, Takashi Naito, Yoshiki Ninomiya (TOYOTA CENTRAL R&D LABS., INC.) PRMU2009-41 |
While the bag of words models are popular and powerful method for generic object recognition, they completely discard th... [more] | PRMU2009-41 pp.7-12 |
| NLC | 2009-01-27 14:20 |
Okayama | Extraction of the Repeat-Phrases in Closed Captions for Scene Segmentation of TV Programs Kikuka Miura (NHK), Ichiro Yamada (NICT), Takeshi Kobayakawa, Atsushi Matsui, Jun Goto, Hideki Sumiyoshi, Masahiro Shibata (NHK) NLC2008-80 |
We can reuse video segments effectively on searching videos from a huge amount of TV programs if each video has metadata... [more] | NLC2008-80 pp.53-58 |
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| ITE-HI, ITE-AIT, ITE-ME, IE, ITS | 2008-02-18 14:10 |
Hokkaido | Graduate School of Information Science and Technology Hokkaido Univ | A note on scene segmentation based on video structure
-- An approach by combination of audio and visual processing -- Makoto Yamamoto, Miki Haseyama (Hokkaido Univ.) ITS2007-46 IE2007-229 |
This paper proposes video scene segmentation method utilizing shot-based repetitive structures of video and audio signal... [more] | ITS2007-46 IE2007-229 pp.61-66 |
| SIP, ICD, IE, IPSJ-SLDM | 2005-10-20 09:40 |
Miyagi | Ichinobo, Sakunami-Spa | Temporal Segmentation of 3D Videos Based on Numerical Features Toshihiko Yamasaki, Kiyoharu Aizawa (Univ. of Tokyo) |
3D video, which is generated from multi-viewpoint images, has been attracting increased attention because it can record ... [more] | SIP2005-98 ICD2005-117 IE2005-62 pp.13-18 |
| PRMU, DE | 2005-06-16 15:40 |
Hokkaido | Hokkaido Univ. | Webified Video: Media Conversion of TV programs for Cross-media Information Integration Hisashi Miyamori, Katsumi Tanaka (NICT) |
A concept and its implementation method, called Webified Video, is proposed for viewing broadcast content that converts ... [more] | DE2005-11 PRMU2005-32 pp.61-66 |
| PRMU, NLC | 2005-02-25 10:30 |
Tokyo | Metadata Generation for Football Games using Announcer’s Commentary Ichiro Yamada, Masanori Sano, Hideki Sumiyoshi, Masahiro Shibata, Nobuyuki Yagi (NHK) |
This paper proposes a method to generate metadata automatically for football games using announcer’s commentary. Each co... [more] | NLC2004-122 PRMU2004-204 pp.37-42 |
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