An immediate analysis and automatic tag extraction for sensor databases
| Project/Area Number |
26330141
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Multimedia database
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| Research Institution | Komazawa University |
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Principal Investigator |
Yoshida Naofumi 駒澤大学, グローバル・メディア・スタディーズ学部, 准教授 (10338238)
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| Research Collaborator |
Honda Ken 駒澤大学, 大学院 グローバル・メディア研究科
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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 |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2014: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | マルチメディア・データベース / データモデル / センサーデータ / データ分析 / メディア情報学 / データベース / センサ / 情報資源 / マルチメディア |
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| Outline of Final Research Achievements |
In this research project, the principle aim is an automatic extraction of tags for sensor databases by immediate analysis of data. The system analyses sensor data from databases immediately, and outputs the results as tags. Based on the mutual resource exchanging model (our previous work), we realized an three dimensional movie generation method by collective intelligence, and an hybrid learning method by mutual exchanging learning results. Also, we have presented a credibility evaluation method by integrating legacy databases and sensor databases. We have shown these results in journal papers and international conference papers.
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Report
(4 results)
Research Products
(11 results)
