| Presentation | 2018-11-21 [Poster Presentation] Video Forgery Detection Using Spatio-Temporal Convolutional Neural Network Shoken Ohshiro, Kazuhiro Kono, Noboru Babaguchi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | It is easy to tamper with videos due to the improvement of video editing technology.We need to develop forgery detection systems in order to guarantee the integrity of the videos.The purpose of our work is to detect tampering in the spatial domain for the videos which include dynamic scenes like non-stationary scenes.In this paper, we develop a video forgery detection system using 3D Convolutional Neural Network (CNN).Unlike 2D CNN, the filters in 3D CNN can extract features from both spatial and temporal aspects of the videos.We report the experimental results in our proposed system and the existing system using Convolutional Long Short-Term Memory. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Video Analysis / Video Forgery Detection / Passive Approach / 3D CNN / Object Modification |
| Paper # | EA2018-71,EMM2018-71 |
| Date of Issue | 2018-11-14 (EA, EMM) |
| Conference Information | |
| Committee | EA / ASJ-H / EMM / IPSJ-MUS |
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| Conference Date | 2018/11/21(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hotel Koshuen |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | [Beginners Session] Engineering/Electro Acoustics, Psychological and Physiological Acoustics, Music and Computer, Content Processing, Digital Watermarking, and Related Topics |
| Chair | Suehiro Shimauchi(Kanazawa Inst. of Tech.) / 小澤 賢司(山梨大) / Keiichi Iwamura(TUC) / 吉井 和佳(京大) |
| Vice Chair | Kenichi Furuya(Oita Univ.) / Kanji Watanabe(Akita Pref. Univ.) / 中川 誠司(千葉大) / Minoru Kuribayashi(Okayama Univ.) / Tetsuya Kojima(NIT,Tokyo College) |
| Secretary | Kenichi Furuya(Shizuoka Inst. of Science and Tech.) / Kanji Watanabe(NHK) / 中川 誠司(尚絅大) / Minoru Kuribayashi(北陸先端大) / Tetsuya Kojima(千葉大) / (NIT, Tokyo) |
| Assistant | Keisuke Imoto(Ritsumeikan Univ.) / Daisuke Morikawa(Toyama Pref Univ.) / / Hiroko Akiyama(NIT, Nagano College) / キタヒロ カネダ(CANON) |
| Paper Information | |
| Registration To | Technical Committee on Engineering Acoustics / Auditory Research Meeting / Technical Committee on Enriched MultiMedia / Special Interest Group on Music and Computer |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] Video Forgery Detection Using Spatio-Temporal Convolutional Neural Network |
| Sub Title (in English) | |
| Keyword(1) | Video Analysis |
| Keyword(2) | Video Forgery Detection |
| Keyword(3) | Passive Approach |
| Keyword(4) | 3D CNN |
| Keyword(5) | Object Modification |
| 1st Author's Name | Shoken Ohshiro |
| 1st Author's Affiliation | Osaka University(Osaka Univ) |
| 2nd Author's Name | Kazuhiro Kono |
| 2nd Author's Affiliation | Kansai University(Kainsai Univ) |
| 3rd Author's Name | Noboru Babaguchi |
| 3rd Author's Affiliation | Osaka University(Osaka Univ) |
| Date | 2018-11-21 |
| Paper # | EA2018-71,EMM2018-71 |
| Volume (vol) | vol.118 |
| Number (no) | EA-312,EMM-313 |
| Page | pp.pp.49-52(EA), pp.49-52(EMM), |
| #Pages | 4 |
| Date of Issue | 2018-11-14 (EA, EMM) |