Presentation 1998/3/13
Knowledge Acquisition through Man-machine Communication with Image and Voice Media
Ken'ichi KAMEI, Jun KOMATSU, Shuichi ARAI,
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Abstract(in English) Recently, many studies about recognition or understanding have managed the multimedia, such as sound and image. In these study, it is very difficult to relate the different kinds of information that have the same meaning, because of each media has appropriate description method in own domain. This paper describes the knowledge representation method to manage the different kinds of information, and that enables acquiring the knowledge by learning. This system can handle two different kinds of information: image and sound. In this system, these informations are related using the rule that the many observed stimulus in same time have same semantic information. This relationship means the semantic concept of linguistic symbol. Moreover, this study proposes the simple Man-machine communication model, to realize the flexible understanding system that is independent of recognition target.
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Keyword(in English) image understanding / sppeech understanding / knowledge acquisition / communication
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Committee NLC
Conference Date 1998/3/13(1days)
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Registration To Natural Language Understanding and Models of Communication (NLC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Knowledge Acquisition through Man-machine Communication with Image and Voice Media
Sub Title (in English)
Keyword(1) image understanding
Keyword(2) sppeech understanding
Keyword(3) knowledge acquisition
Keyword(4) communication
1st Author's Name Ken'ichi KAMEI
1st Author's Affiliation Chiba Institute of Technology()
2nd Author's Name Jun KOMATSU
2nd Author's Affiliation Chiba Institute of Technology
3rd Author's Name Shuichi ARAI
3rd Author's Affiliation Musashi Institute of Technology
Date 1998/3/13
Paper #
Volume (vol) vol.97
Number (no) 594
Page pp.pp.-
#Pages 8
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