複数のメディアデータ感性空間間の感性的相関量計量方式と その自動 Visual Jockey システムへの応用 An Automatic Visual Jockey System According to “ Kansei Correlation ” between Music and Image Data. Fukai, H., Uraki, A., I., & Kiyoki, Y. 2008.
abstract   bibtex   
This paper presents a correlation calculation method for multiple media data spaces and its application for automatic visual jockey systems. A media data space is used to express and evaluate media data features in terms of their impressions. To realize the correlation calculation between two different media, this method applies a feature transformation matrix to two different media spaces. This method applies our proposed methods named “Automatic metadata generation method for music data” and “autonoesis (automatic metadata generation method for image data)” to extract media data features of impressions automatically. This paper also shows several experimental results to clarify the feasibility and effectiveness of our method.
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 id = {2701e941-baaf-32e2-a985-f3ff0fbd9622},
 title = {複数のメディアデータ感性空間間の感性的相関量計量方式と その自動 Visual Jockey システムへの応用 An Automatic Visual Jockey System According to “ Kansei Correlation ” between Music and Image Data},
 type = {article},
 year = {2008},
 keywords = {image data,kansei,metadata,multimedia,music data,space,visual jockey system},
 created = {2014-12-09T03:16:34.000Z},
 pages = {8},
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 last_modified = {2014-12-09T17:06:14.000Z},
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 citation_key = {Fukai2008},
 abstract = {This paper presents a correlation calculation method for multiple media data spaces and its application for automatic visual jockey systems. A media data space is used to express and evaluate media data features in terms of their impressions. To realize the correlation calculation between two different media, this method applies a feature transformation matrix to two different media spaces. This method applies our proposed methods named “Automatic metadata generation method for music data” and “autonoesis (automatic metadata generation method for image data)” to extract media data features of impressions automatically. This paper also shows several experimental results to clarify the feasibility and effectiveness of our method.},
 bibtype = {article},
 author = {Fukai, Haruka and Uraki, Asako Ijichi and Kiyoki, Yasushi}
}
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