Presentation 2004/1/16
Recognizing Actions for Automatically Acquiring Personal Preferences from TV Viewer's Behaviors
Tomoyuki YAO, Yu OHARA, Fumihisa SHIBATA, Noboru BABAGUCHI, Yasushi YAGI,
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Abstract(in English) The importance of information services considering personal preferences is increasing. We propose a system for automatically acquiring personal preferences from TV viewer's behaviors. In this paper, we examine TV viewer's behaviors based on psychological theory, and classify them into eight categories. We then describe recognition methods of the behaviors considered to be effective for acquiring personal preferences among classified behaviors through image and audio processing. Finally, we show the experimental results of recognizing TV viewer's behaviors, and demonstrate the effectiveness.
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Keyword(in English) Personalized Service / Personal Preference / TV Viewer's Behaviors / Action Recognition
Paper # PRMU2003-209
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Committee PRMU
Conference Date 2004/1/16(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Recognizing Actions for Automatically Acquiring Personal Preferences from TV Viewer's Behaviors
Sub Title (in English)
Keyword(1) Personalized Service
Keyword(2) Personal Preference
Keyword(3) TV Viewer's Behaviors
Keyword(4) Action Recognition
1st Author's Name Tomoyuki YAO
1st Author's Affiliation I.S.I.R, Osaka University()
2nd Author's Name Yu OHARA
2nd Author's Affiliation I.S.I.R, Osaka University
3rd Author's Name Fumihisa SHIBATA
3rd Author's Affiliation Faculty of Science and Engineering, Ritsumeikan University
4th Author's Name Noboru BABAGUCHI
4th Author's Affiliation Graduate School of Engineering, Osaka University
5th Author's Name Yasushi YAGI
5th Author's Affiliation I.S.I.R, Osaka University
Date 2004/1/16
Paper # PRMU2003-209
Volume (vol) vol.103
Number (no) 585
Page pp.pp.-
#Pages 6
Date of Issue