TY - CHAP
T1 - A ‘Kansei’ multimedia and semantic computing system for cross-cultural communication
AU - Dubnov, Shlomo
AU - Burns, Kevin
AU - Kiyoki, Yasushi
N1 - Funding Information:
We would like to thank Prof. Takashi Kitagawa (University of Tsukuba) as a co-designer of the Mathematical Model of Meaning (MMM). We would also like to express special thanks to Prof. Shlomo Dubnov (University of California, San Diego) for his suggestive and creative discussions, and to our MDBL project members in Keio University at SFC, for valuable multimedia database system creation and experiments.
Publisher Copyright:
© 2016, The Author(s).
PY - 2016
Y1 - 2016
N2 - In the design of multimedia computing systems, one of the most important issues is how to search and analyze media data (images, music, movies and documents), according to user’s impressions and contexts. This paper presents “Kansei-Multimedia Computing System” for realizing international and cross-cultural research environments, as a new platform of multimedia computing system. We introduce a “Kansei” and semantic associative search method based on the “Mathematical Model of Meaning (MMM)”. The concept of “Kansei” includes several meanings on sensitive recognition, such as “emotion”, “impression”, “human senses”, “feelings”, “sensitivity”, “psychological reaction” and “physiological reaction”. MMM realizes “Kansei” processing and semantic associative search for media data, according to user’s impressions and contexts. This model is applied to compute semantic correlations between keywords, images, music, movies and documents dynamically in a context-dependent way. This system based on MMM realizes (1) “Kansei” image and music search and analysis for cooperative creation and manipulation of multimedia objects and (2) Cross-cultural communications with music and images databases.
AB - In the design of multimedia computing systems, one of the most important issues is how to search and analyze media data (images, music, movies and documents), according to user’s impressions and contexts. This paper presents “Kansei-Multimedia Computing System” for realizing international and cross-cultural research environments, as a new platform of multimedia computing system. We introduce a “Kansei” and semantic associative search method based on the “Mathematical Model of Meaning (MMM)”. The concept of “Kansei” includes several meanings on sensitive recognition, such as “emotion”, “impression”, “human senses”, “feelings”, “sensitivity”, “psychological reaction” and “physiological reaction”. MMM realizes “Kansei” processing and semantic associative search for media data, according to user’s impressions and contexts. This model is applied to compute semantic correlations between keywords, images, music, movies and documents dynamically in a context-dependent way. This system based on MMM realizes (1) “Kansei” image and music search and analysis for cooperative creation and manipulation of multimedia objects and (2) Cross-cultural communications with music and images databases.
KW - Multimedia database
KW - Music database
KW - Music piece
KW - Semantic correlation
KW - Semantic space
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U2 - 10.1007/978-3-319-42873-4_1
DO - 10.1007/978-3-319-42873-4_1
M3 - Chapter
AN - SCOPUS:85044920990
T3 - SpringerBriefs in Computer Science
SP - 1
EP - 20
BT - SpringerBriefs in Computer Science
PB - Springer
ER -