Development of video retrieval engine by using a large-scale video corpus
| Project/Area Number |
26280040
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Multimedia database
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| Research Institution | Kobe University |
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Principal Investigator |
Uehara Kuniaki 神戸大学, システム情報学研究科, 教授 (60160206)
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| Co-Investigator(Kenkyū-buntansha) |
松原 崇 神戸大学, その他の研究科, 助教 (70756197)
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| Research Collaborator |
SHIRAHAMA Kimiaki ジーゲン大学, パターン認識グループ, ポスドク
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥17,810,000 (Direct Cost: ¥13,700,000、Indirect Cost: ¥4,110,000)
Fiscal Year 2016: ¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2015: ¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2014: ¥11,440,000 (Direct Cost: ¥8,800,000、Indirect Cost: ¥2,640,000)
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| Keywords | 機械学習 / 情報検索 / 映像データ / コーパス / 映像検索 / 深層学習 |
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| Outline of Final Research Achievements |
We have developed a large-scale video retrieval method that can identify videos relevant to a semantically high-level query (e.g., “playing a guitar outdoors), by combing recognition results of concepts (abstracted names of meanings that a human can perceive from a video). Despite the recent advancement of concept detection, it is still difficult to accurately recognise various concepts. Thus, based on Dempster-Shafer Theory, we have quantised uncertainties in concept detection, and developed a probabilistic method that can perform accurate retrieval even using uncertain (erroneous) concept detection results. In addition, by adopting a visual attention model, we have developed a video retrieval method that reflects user’s intention by considering which concepts attract his/her attention.
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Report
(4 results)
Research Products
(23 results)
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[Presentation] Convoy Detection in Crowded Surveillance Videos2016
Author(s)
Zeyd Boukhers, Yicon Wang, Kimiaki Shirahama, Kuniaki Uehara and Marcin Grzegorzek
Organizer
7th International Workshop on Human Behavior Understanding
Place of Presentation
University of Amsterdam (Amsterdam, The Netherlands)
Year and Date
2016-10-16
Related Report
Int'l Joint Research
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[Book] Multimedia Data Mining and Analytics: Disruptive Innovation, Chapter 12, Video Retrieval Based on Uncertain Concept Detection Using Dempster-Shafer Theory2015
Author(s)
Baughman, A., Gao, J., Pan, J.-Y., Petrushin, V.A. (編) Kimiaki Shirahama, Kenji Kumabuchi, Marcin Grzegorzek and Kuniaki Uehara
Total Pages
454
Publisher
Springer
Related Report
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