DocumentCode :
2351070
Title :
Cross-Media Data Mining Using Associated Keyword Space
Author :
Wagatsuma, Takashi ; Yaguchi, Yuichi ; Oka, Ryuichi
Author_Institution :
Univ. of Aizu, Aizu-Wakamatsu, Japan
Volume :
2
fYear :
2009
fDate :
11-14 Oct. 2009
Firstpage :
289
Lastpage :
294
Abstract :
This paper proposes a method to analyze and determine the unified similarity of various data, such as movies, images, sound, and text. Items from these sources of data have various relative-similarity properties, which are specified by quantitative methods, and these similarities can be represented by physical distances in a multidimensional scaling space. In this study, we introduce an example of a 3-D multimedia space using the Associated Keyword Space (ASKS) and demonstrate similarity relationships between various sources of data in this space.
Keywords :
Internet; data mining; multimedia systems; 3-D multimedia space; IEEE Web data mining; associated keyword space; cross-media data mining; multidimensional scaling space; quantitative methods; relative-similarity properties; Amplitude shift keying; Clustering algorithms; Data mining; Information analysis; Information technology; Internet; Motion pictures; Multidimensional systems; Web mining; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology, 2009. CIT '09. Ninth IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3836-5
Type :
conf
DOI :
10.1109/CIT.2009.41
Filename :
5329086
Link To Document :
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