Presentation 2006-03-17
Automatic metadata generation by applying heuristic rules to the results of media analysis and its use to digest video distribution service
Hidetaka KUWANO, Tomokazu YAMADA, Katsuhiko KAWAZOE,
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Abstract(in English) This paper proposes a automatic metadata generation system for digest video distribution service. The system extracts significant scenes by applying heuristic rules to the results of media analyses. The system can also automatically produce digest videos of the desired duration. We also developed the novel application of digest viewing for mobile TV service. The application provides multiple viewing modes such as text mode, video comic mode, and digest video mode. We implemented the application on a mobile phone and can demonstrate the sports digest distribution service.
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Keyword(in English) metadata generation / video analysis / audio analysis / natural language processing / server type broadcasting
Paper # PRMU2005-302
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Conference Information
Committee PRMU
Conference Date 2006/3/10(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) Automatic metadata generation by applying heuristic rules to the results of media analysis and its use to digest video distribution service
Sub Title (in English)
Keyword(1) metadata generation
Keyword(2) video analysis
Keyword(3) audio analysis
Keyword(4) natural language processing
Keyword(5) server type broadcasting
1st Author's Name Hidetaka KUWANO
1st Author's Affiliation NTT Cyber Solutions Laboratories, NTT Corporation()
2nd Author's Name Tomokazu YAMADA
2nd Author's Affiliation NTT Cyber Solutions Laboratories, NTT Corporation
3rd Author's Name Katsuhiko KAWAZOE
3rd Author's Affiliation NTT Cyber Solutions Laboratories, NTT Corporation
Date 2006-03-17
Paper # PRMU2005-302
Volume (vol) vol.105
Number (no) 674
Page pp.pp.-
#Pages 6
Date of Issue