| Presentation | 2014-03-13 Violent Scenes Detection in Videos using Automatically Inferred Mid-level Concepts Shinichi GOTO, Terumasa AOKI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper we propose a novel system for violent scenes detection. Though some previous works have utilized violent concepts annotated by human assessors in order to deal with the ambiguity of the word "violence," our system automatically infers Mid-level Concepts as alternatives. Visual and audio features are extracted at fixed segment-level and used as the input for Multiple Kernel Learning, and finally each violence-score is calculated. We trained the whole system on a dataset from MediaEval 2013 Affect Task and evaluated it by its official metric. The obtained results outperformed the best score in Affect Task. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | violent scenes detection / video processing / machine learning / computer vision / multimedia processing |
| Paper # | PRMU2013-175 |
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| Committee | PRMU |
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| Conference Date | 2014/3/6(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) | Violent Scenes Detection in Videos using Automatically Inferred Mid-level Concepts |
| Sub Title (in English) | |
| Keyword(1) | violent scenes detection |
| Keyword(2) | video processing |
| Keyword(3) | machine learning |
| Keyword(4) | computer vision |
| Keyword(5) | multimedia processing |
| 1st Author's Name | Shinichi GOTO |
| 1st Author's Affiliation | Graduate School of Information Sciences, Tohoku University() |
| 2nd Author's Name | Terumasa AOKI |
| 2nd Author's Affiliation | New Industry Creation Hatchery Center (NICHe), Tohoku University |
| Date | 2014-03-13 |
| Paper # | PRMU2013-175 |
| Volume (vol) | vol.113 |
| Number (no) | 493 |
| Page | pp.pp.- |
| #Pages | 6 |
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