Presentation | 2015-03-20 Video Level Violence Rating Jien KATO, Yu WANG, Guanwen ZHANG, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Given a video as input, we propose an approach to estimate a rate which describes the extent of "how violent it is". Such an estimation is highly desirable for many practical applications such as preventing children from videos of excessive visual violence. However, existing methods on human action recognition and violent scenes detection can not be directly utilized for this objective due to the unique property of the rating task. Our proposed approach includes (1) a novel video descriptor called Violent Attribute Activation (VAA), and (2) a rank-prediction-based rating approach that enforces the order constrains during the rating process. The performance of the approach has been confirmed on a novel dataset that are specially prepared for the violence rating problem. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | violence rating / Visual violence / human action recognition / violent scene detection / learning to ranking |
Paper # | BioX2014-78,PRMU2014-198 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2015/3/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Video Level Violence Rating |
Sub Title (in English) | |
Keyword(1) | violence rating |
Keyword(2) | Visual violence |
Keyword(3) | human action recognition |
Keyword(4) | violent scene detection |
Keyword(5) | learning to ranking |
1st Author's Name | Jien KATO |
1st Author's Affiliation | Graduate School of Information Science, Nagoya University() |
2nd Author's Name | Yu WANG |
2nd Author's Affiliation | Graduate School of Information Science, Nagoya University |
3rd Author's Name | Guanwen ZHANG |
3rd Author's Affiliation | Graduate School of Information Science, Nagoya University |
Date | 2015-03-20 |
Paper # | BioX2014-78,PRMU2014-198 |
Volume (vol) | vol.114 |
Number (no) | 521 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |