A media-mashup engine with interactive cross-media association and personalization mechanisms

Haruka Fukai, Aya Ichinose, Shuichi Kurabayashi, Yasushi Kiyoki

研究成果: Conference contribution

抄録

This paper proposes a media-mashup engine with interactive cross-media association mechanisms that compute correlation values between image data and music data. The aim of this study is creating a database function for decorating a multimedia data with other types of multimedia data by inspecting the contents of a multimedia data. This media mashup engine has several feature vector spaces for computing correlation between heterogeneous media data. This system utilizes a feature transmission matrix that defines relationship between a feature in a vector space and a feature in another vector space. The important feature of this system is a personalization mechanism for this feature transmission matrix, which reflects individual perceptual preferences for defining the cross-media feature associations. The system provides a real-time feedback mechanism to define a user's individual preference by submitting an existing media data. This paper shows a prototype system that implements the cross-media association functions and personalization mechanisms. This paper shows several experimental results to clarify the effectiveness and feasibility of this system.

本文言語English
ホスト出版物のタイトルProceedings of the IASTED International Conference on Software Engineering and Applications, SEA 2010
ページ396-403
ページ数8
DOI
出版ステータスPublished - 2010 12 1
イベントIASTED International Conference on Software Engineering and Applications, SEA 2010 - Marina del Rey, CA, United States
継続期間: 2010 11 82010 11 10

出版物シリーズ

名前Proceedings of the IASTED International Conference on Software Engineering and Applications, SEA 2010

Other

OtherIASTED International Conference on Software Engineering and Applications, SEA 2010
国/地域United States
CityMarina del Rey, CA
Period10/11/810/11/10

ASJC Scopus subject areas

  • ソフトウェア

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