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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 45  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IMQ, IE, MVE, CQ
(Joint) [detail]
2023-03-17
13:40
Okinawa Okinawaken Seinenkaikan (Naha-shi)
(Primary: On-site, Secondary: Online)
A Consideration on Improving Frame Prediction Accuracy Using GAN and PredNet
Naoko Imai, Shunichi Sekiguchi, Wataru Kameyama (Waseda Univ) IMQ2022-80 IE2022-157 MVE2022-110
We have been studying to apply PredNet, which is proposed to prove the predictive coding theory of human brain, to motio... [more] IMQ2022-80 IE2022-157 MVE2022-110
pp.309-314
EMM 2023-03-02
13:00
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
[Poster Presentation] A Video Data Hiding Scheme Utilizing Characteristics of Consecutive Frames
Hikaru Ando, Tetsuya Kojima, Raito Matsuzaki, Akira Tanaka (NIT, Tokyo College) EMM2022-72
A video data hiding scheme has been proposed by repeating the same frames to embed secret data according to the observat... [more] EMM2022-72
pp.30-33
PN 2022-03-02
11:20
Online Online A Traffic Reduction Method Based on Users' Interests for Multi-view Video
Hikaru Yamaguchi, Yutaka Nasu, Saeko Maeda, Naoaki Yamanaka, Satoru Okamoto (Keio Univ.) PN2021-74
With the development of image processing technology and information communication technology, various forms of video str... [more] PN2021-74
pp.117-121
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-22
10:15
Online Online Contrastive Self-Supervised Learning Framework for Unsupervised Video Summarization
Xianliang Zhang, Li Tao (UTokyo), Xueting Wang (CyberAgent AI Lab), Toshihiko Yamasaki (UTokyo) ITS2021-44 IE2021-53
The rapid growth of video data aggravates the effort by viewers in exploring informative data. This paper presents a fra... [more] ITS2021-44 IE2021-53
pp.115-120
MVE 2021-09-17
14:30
Online Online Improving Mask Generation Accuracy Exploiting Optical Flow in Weakly Supervised Instance Segmentation
Jun Ikeda, Junichiro Mori (UTokyo) MVE2021-15
Weakly supervised instance segmentation is important because it reduces the huge pixel-level annotation cost required to... [more] MVE2021-15
pp.38-43
ITE-ME, EMM, IE, LOIS, IEE-CMN, IPSJ-AVM [detail] 2021-08-25
13:25
Online Online Extraction of watermarks from video frames by using BSS
Akane Yokota, Masaki Kawamura (Yamaguchi Univ.) LOIS2021-17 IE2021-12 EMM2021-47
We propose a method for extracting watermarks additively
embedded in video frames by using blind source separation (BS... [more]
LOIS2021-17 IE2021-12 EMM2021-47
pp.7-12
HCS 2021-08-22
14:35
Online Online Will VR open up people' s minds? -- Effects of online communication media on self-disclosure --
Junko Ichino, Masahiro Ide (Tokyo City Univ.), Hitomi Yokoyama (Okayama Univ. of Science), Hirotoshi Asano (Kogakuin Univ.), Hideo Miyachi, Daisuke Okabe (Tokyo City Univ.) HCS2021-31
It is known that people behave more openly in cyberspace than in real space, but how communication via embodied avatars ... [more] HCS2021-31
pp.78-83
LOIS, IPSJ-SPT, IPSJ-CN 2021-05-11
11:00
Online Online Analysis of noting behaviors by students in video lectures (Fifth report)
Eiji Watanabe (Konan Univ.), Takashi Ozeki (Fukuyama Univ.), Takeshi Kohama (Kindai Univ.) LOIS2021-10
In this report, we analyze learning behaviors of students for video lectures assuming real-time lectures. Here, we assum... [more] LOIS2021-10
pp.54-59
PN 2021-03-02
10:00
Online Online A Real-Time Multi-Viewpoint Video Distribution Method Using a Dynamic Camera Clustering Method Based on Frame Meta-information
Saeko Maeda, Yutaka Nasu, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) PN2020-50
With the development of image processing technology, information and communication technology, and the launch of 5G serv... [more] PN2020-50
pp.51-57
MVE 2020-09-09
11:35
Online Online On modelling viewer sentiment of social media videos for attractive computing
Marc A. Kastner, Shin'ichi Satoh (NII) MVE2020-14
An understanding of human perception and sentiment can help with multimedia tasks like video recommendations. Having a m... [more] MVE2020-14
pp.21-26
IE, IMQ, MVE, CQ
(Joint) [detail]
2020-03-06
13:00
Fukuoka Kyushu Institute of Technology
(Cancelled but technical report was issued)
Video Coding by Inter Prediction Using Super-Resolved or Blurred Local-Decoded Pictures
Yasutaka Matsuo (NHK) IMQ2019-35 IE2019-117 MVE2019-56
In order to improve the video coding efficiency for scene of varying amount of motion blur, a novel inter prediction met... [more] IMQ2019-35 IE2019-117 MVE2019-56
pp.97-102
EMM 2020-03-05
14:25
Okinawa
(Cancelled but technical report was issued)
[Poster Presentation] Proposal of BSS-based video watermarking method using similarity between frames
Akane Yokota, Masaki Kawamura (Yamaguchi Univ.) EMM2019-105
Movies are composed of sequential still images, and similarity between consecutive frames is very high. 
In this work, w... [more] EMM2019-105
pp.19-24
EA, EMM 2019-11-22
15:30
Ishikawa Kanazawa Institute of Technology [Poster Presentation] On a Video Data Hiding Scheme Utilizing the Differences Between Successive Frames
Masaki Hirano, Tetsuya Kojima (NIT, Tokyo College) EA2019-62 EMM2019-90
In general, video signals are constructed by successive image frames. Even if there are slight differences between two s... [more] EA2019-62 EMM2019-90
pp.53-55
DE, IPSJ-DBS 2018-12-22
10:00
Tokyo National Institute of Informatics An Automatic Synchronization Method of Lyrics and Pictures using Word Embedding and Generic Object Recognition
Syo Yamaguchi, Daisuke Kitayama (Kogakuin Univ.) DE2018-25
Generating and sharing video content has become popular. Some video contents are the slideshow that combines pictures an... [more] DE2018-25
pp.29-34
SIS, IPSJ-AVM, ITE-3DMT [detail] 2018-06-08
11:30
Hokkaido Jozankei View Hotel Web video search reranking via graph-based soft clustering using heterogeneous metadata integration
Soh Yoshida, Mitsuji Muneyasu (Kansai Univ.) SIS2018-8
This paper addresses the problem of analyzing a heterogeneous graph for extracting topics including videos in a dataset ... [more] SIS2018-8
pp.69-74
PRMU, BioX 2018-03-18
16:45
Tokyo   Evaluation of the Shot Boundary Detection Method based on Unsupervised Learning from Video Big Data
Norio Katayama, Hiroshi Mo, Shin'ichi Satoh (NII) BioX2017-53 PRMU2017-189
Video data is a sequence of video frames and their temporal continuity
is an essential property of video stream. In th... [more]
BioX2017-53 PRMU2017-189
pp.103-108
IN 2018-01-23
14:00
Aichi WINC AICHI Pitch-based Cluster Segmentalization for Voice Actor Recognition Using Gender Determination in Anime Video
Motoki Eida, Shun Hattori (Muroran Inst. of Tech.) IN2017-86
When we hear someone's voice from an anime video, we need to carry extra burdens of searching the end roll of the anime ... [more] IN2017-86
pp.85-90
AI 2017-11-24
15:55
Fukuoka   Context Aware Gender Determination for Voice Actor Recognition in Anime Video
Motoki Eida, Shun Hattori (Muroran Inst. of Tech.) AI2017-16
When we hear someone's voice from an anime video, we need to carry extra burdens of searching the end roll of the anime ... [more] AI2017-16
pp.55-60
HCGSYMPO
(2nd)
2016-12-07
- 2016-12-09
Kochi Kochi City Culture Plaza (CUL-PORT) Viewing Model based User Grouping for Viewing Support of Mutli-view Videos
Xueting Wang, Kensho Hara, Yu Enokibori, Takatsugu Hirayama, Kenji Mase (Nagoya Univ.)
Multi-camera videos taken by plural cameras can provide abundant information
and high flexibility in enhancing viewing ... [more]

IE, IMQ, MVE, CQ
(Joint) [detail]
2016-03-08
13:00
Okinawa   Viewpoint Recommendation based on Trajectory Distribution of Viewing Target for Soccer Multi-view Video
Xueting Wang, Kensho Hara, Yu Enokibori, Kenji Mase (Nagoya Univ.) IMQ2015-69 IE2015-168 MVE2015-96
Multi-camera videos taken by plural cameras can provide abundant information
and high flexibility in enhancing viewing ... [more]
IMQ2015-69 IE2015-168 MVE2015-96
pp.235-240
 Results 1 - 20 of 45  /  [Next]  
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