The KIPS Transactions:PartB (정보처리학회논문지B)

Korea Information Processing Society (한국정보처리학회)
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Emotion-Based Music Retrieval Using Consistency Principle and Multi-Query Feedback

검색의 일관성원리와 피드백을 이용한 감성기반 음악 검색 시스템

  • 신송이 (전북대학교 컴퓨터공학과) ;
  • 박은종 (한국전자통신 연구원) ;
  • 엄경배 (군산대학교 컴퓨터정보공학과) ;
  • 이준 (전북대학교 전자정보공학부)
  • Received : 2009.11.16
  • Accepted : 2010.02.10
  • Published : 2010.04.30
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Abstract

In this paper, we propose the construction of multi-queries and consistency principle for the user's emotion-based music retrieval system. The features used in the system are MPEG-7 audio descriptors, which are international standards recommended for content-based audio retrievals. In addition we propose the method to determine the weight that represent the importance of each descriptor for each emotion in order to reduce the computation. Also, the proposed retrieval algorithm that uses the relevance feedback based on consistency principal and multi-queries improves the success ratio of musics corresponding to user's emotion.

본 논문에서는 검색의 일관성원리와 다중질의 방법을 이용하여 감성을 기반으로 음악을 검색하는 알고리즘을 제안한다. 사용되어지는 특징들은 MPEG-7에서 제공하는 오디오 서술자들이며 이 정보들을 사용하는 것은 국제표준화가 용이 하다는 장점을 가지고 있기 때문이다. 또한 감성에 따라 MPEG-7 오디오 서술자들의 가중치를 부여하는 방법을 제안하여 계산량을 줄이는 방법을 고안하였으며 일관성원리와 다중질의 방법을 사용하는 적합성 피드백을 사용하여 검색의 적합률을 향상시켰다.

Keywords

References

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