2013 Fiscal Year Final Research Report
Semantic and Affective Multimedia Retrieval using EEG-based Biological Information
| Project/Area Number |
21300036
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Media informatics/Database
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| Research Institution | The University of Tokushima |
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Principal Investigator |
KITA Kenji 徳島大学, ソシオテクノサイエンス研究部, 教授 (10243734)
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| 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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| Project Period (FY) |
2009-04-01 – 2014-03-31
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| Keywords | マルチメディア / 情報検索 / 脳波情報 |
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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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