Presentation | 2018-03-18 Evaluation of the Shot Boundary Detection Method based on Unsupervised Learning from Video Big Data Norio Katayama, Hiroshi Mo, Shin'ichi Satoh, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Video data is a sequence of video frames and their temporal continuityis an essential property of video stream. In this paper, we present a framework of constructing video continuity model from large-scale video archives with unsupervised learning. Our method estimates the similarity distribution of continuous frame pairs by applying simple assumption on the minimum duration of continuous video segments and then determines discontinuous frame pairs as outliers. In order to verify the validity of the obtained model, the model is applied to the shot boundary detection. The results of experimental evaluation demonstrate the feasibility and the effectiveness of our method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | shot boundary detection / unsupervised learning / video continuity model / video archive |
Paper # | BioX2017-53,PRMU2017-189 |
Date of Issue | 2018-03-11 (BioX, PRMU) |
Conference Information | |
Committee | PRMU / BioX |
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Conference Date | 2018/3/18(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Shinichi Sato(NII) / Kazuhiko Sumi(AGU) |
Vice Chair | Hironobu Fujiyoshi(Chubu Univ.) / Yoshihisa Ijiri(Omron) / Hiroshi Takano(Toyama Pref. Univ.) / Hitoshi Imaoka(NEC) |
Secretary | Hironobu Fujiyoshi(AIST) / Yoshihisa Ijiri(NAIST) / Hiroshi Takano(Shizuoka Univ.) / Hitoshi Imaoka(Fujitsu Labs.) |
Assistant | Masato Ishii(NEC) / Yusuke Sugano(Osaka Univ.) / Masatsugu Ichino(Univ. of Electro-Comm.) / Naoyuki Takada(Secom) / Norihiro Okui(KDDI Research) |
Paper Information | |
Registration To | Technical Committee on Pattern Recognition and Media Understanding / Technical Committee on Biometrics |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Evaluation of the Shot Boundary Detection Method based on Unsupervised Learning from Video Big Data |
Sub Title (in English) | |
Keyword(1) | shot boundary detection |
Keyword(2) | unsupervised learning |
Keyword(3) | video continuity model |
Keyword(4) | video archive |
1st Author's Name | Norio Katayama |
1st Author's Affiliation | National Institute of Informatics(NII) |
2nd Author's Name | Hiroshi Mo |
2nd Author's Affiliation | National Institute of Informatics(NII) |
3rd Author's Name | Shin'ichi Satoh |
3rd Author's Affiliation | National Institute of Informatics(NII) |
Date | 2018-03-18 |
Paper # | BioX2017-53,PRMU2017-189 |
Volume (vol) | vol.117 |
Number (no) | BioX-513,PRMU-514 |
Page | pp.pp.103-108(BioX), pp.103-108(PRMU), |
#Pages | 6 |
Date of Issue | 2018-03-11 (BioX, PRMU) |