| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Outline of Final Research Achievements |
We addressed the structuring of unorganized information that causes information flood. The theory here is the optimization of the likelihood. The first aspect is the theoretical development of the likelihood maximization method. The second is to present novel applications by paying attention to the likelihood.
On the theoretical contribution, the alpha-HMM estimation method (hidden Markov model) was presented. This method includes the traditional log-HMM method (Baum-Welch method) as a special case showing a fast convergence. The second contribution is the alpha-EM method (expectation-maximization). We found shotgun optimization methods that are the fastest.On the applications, we addressed the similar-video retrieval. We extract exemplar frames that form a numerical label. By applying the M-distance (Matsuyama-Moriwaki distance), we succeeded in finding similar videos containing unauthorized scenes. We made another application on the fraudulent PIN holders with high performance.
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