| Co-Investigator(Kenkyū-buntansha) |
SHISHIBORI Masami 徳島大学, 大学院・ソシオテクノサイエンス研究部, 教授 (50274262)
MATSUMOTO Kazuyuki 徳島大学, 大学院・ソシオテクノサイエンス研究部, 助教 (90509754)
TSUGE Satoru 大同大学, 情報学部, 准教授 (00325250)
SUZUKI Motoyuki 大阪工業大学, 情報科学部, 准教授 (30282015)
TSUCHIYA Seiji 同志社大学, 理工学部, 准教授 (70452654)
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| Budget Amount *help |
¥15,990,000 (Direct Cost: ¥12,300,000、Indirect Cost: ¥3,690,000)
Fiscal Year 2013: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2012: ¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2011: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
Fiscal Year 2010: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2009: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
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| Research Abstract |
In this study, we exploited methods for affective information retrieval for multimedia contents such as images, movies, and music by estimating user preferences/tastes from biological information such as EEG. It is, however, difficult to measure the EEG when a subject visualizes an unknown contents. We proposed a solution where a linear regression method based on canonical correlation is used to estimate the cross-correlation affective features from contents features. As an application, we also proposed a sensitivity filtering method for eliminating unpleasant images from the results obtained with similar image retrieval methods, and confirmed that the proposed method was efficient as an affective retrieval system.
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