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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
EMM 2022-03-07
15:55
Online (Primary: Online, Secondary: On-site)
(Primary: Online, Secondary: On-site)
[Poster Presentation] Video Forgery Detection Using a Robust Hashing Algorithm
Shoko Niwa, Miki Tanaka, Hitoshi Kiya (Tokyo Metro. Univ.) EMM2021-102
In this paper, we propose a method to detect the editing of video signals using a robust hashing algorithm. The assumed ... [more] EMM2021-102
pp.58-63
EMM 2021-03-04
14:45
Online Online [Poster Presentation] Improvement of Video Forgery Detection Using Generative Adversarial Networks
Yutaro Osako (Osaka Univ.), Kazuhiro Kono (Kansai Univ.), Noboru Babaguchi (Osaka Univ.) EMM2020-72
Our work aims to detect tampered objects in the spatial domain of videos with high accuracy. We target videos, including... [more] EMM2020-72
pp.28-33
EMM 2020-03-05
16:45
Okinawa
(Cancelled but technical report was issued)
[Poster Presentation] Video Forgery Detection Using Generative Adversarial Networks
Shoken Ohshiro (Osaka Univ.), Kazuhiro Kono (Kansai Univ.), Noboru Babaguchi (Osaka Univ.) EMM2019-122
The purpose of our work is to detect the regions of tampered objects in the spatial domain of videos by passive approach... [more] EMM2019-122
pp.107-112
EMM 2019-03-13
15:15
Okinawa TBD [Poster Presentation] A Consideration on Spatio-Temporal Feature Learning for Video Forgery Detection
Shoken Ohshiro (Osaka Univ.), Kazuhiro Kono (Kansai Univ.), Noboru Babaguchi (Osaka Univ.) EMM2018-104
The purpose of our work is to detect objects tampered in the spatial domain of videos including dynamic scenes such as a... [more] EMM2018-104
pp.67-72
EA, ASJ-H, EMM, IPSJ-MUS [detail] 2018-11-21
13:30
Ishikawa Hotel Koshuen [Poster Presentation] Video Forgery Detection Using Spatio-Temporal Convolutional Neural Network
Shoken Ohshiro (Osaka Univ), Kazuhiro Kono (Kainsai Univ), Noboru Babaguchi (Osaka Univ) EA2018-71 EMM2018-71
It is easy to tamper with videos due to the improvement of video editing technology.We need to develop forgery detection... [more] EA2018-71 EMM2018-71
pp.49-52
EMM 2018-03-05
14:35
Kagoshima Naze Community Center (Amami-Shi, Kagoshima) [Poster Presentation] Video Forgery Detection Considering Spatio-Temporal Consistency
Takaaki Yoshida (Osaka Univ.), Kazuhiro Kono (Kansai Univ.), Noboru Babaguchi (Osaka Univ.) EMM2017-81
This paper proposes a video forgery detection method in dynamic scenes such as dynamic background or dynamic perspective... [more] EMM2017-81
pp.23-28
EMM 2016-03-02
14:30
Kagoshima Yakushima Environ. and Cultural Vill. Center [Poster Presentation] Video Forgery Detection Using a Time Series Model in Dynamic Scenes
Shigeki Karita (Osaka Univ.), Kazuhiro Kono (Kansai Univ.), Noboru Babaguchi (Osaka Univ.) EMM2015-80
This paper proposes a robust video forgery detection method in dynamic scenes such as dynamic background or camera jitte... [more] EMM2015-80
pp.25-30
 Results 1 - 7 of 7  /   
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