| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2013: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2012: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2011: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Research Abstract |
We have investigated methods to utilize still existing classifiers to construct classifier for a novel category. We have studied the methods for similar image search and image segmentation problems. For image search, given a query image, appropriate weight vector is obtained via learning from examples. Although the search quality of the method is very good, it is time consuming. To reduce the computational cost, we proposed a method which approximates weight vectors from existing classifiers (weight vectors). We compared the search quality with the method based on the dimensionality reduction and found PCA-based method can outperform the other approximation techniques. For image segmentation, the task is formulated as the energy minimization. We tried to improve the energy function using the existing image classifier. We have shown the segmentation quality can be improved by limiting possible object categories.
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