Presentation 1996/11/22
Indexing and Classification of News Video Articles by Speech, Character and Image Recognition
Y. ARIKI, Y. SUGIYAMA, N. ISHIKAWA, T. TERANISHI, M. SAKURAI,
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Abstract(in English) We are studying about article classification of TV news video by extracting indices from the character, speech and image information after segmenting news video into individual article. Articles are automatically extracted on the detected scene cut points, according to a loop syntax that each article starts from main studio, followed by field reportings and ends at the main studio again. We obtained 99.2% of news article extraction rate for 30 days news video data. From the news telop, characters are recognized and words are extracted as indices. Using these indices, articles are classified into 10 categories. For the same TV news data, article classification rate was 62.5%. From the news speech, keywords are extracted as indices and articles are classified into 10 categories. For the TV news data, the article classification rate was 50.7%. From the images, human faces are extracted, tracked and recognized by a subspace method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) news video / indexing / news article classification / telop recognition / keyword spotting / subspace method / face recognition
Paper # PRMU96-97
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Conference Information
Committee PRMU
Conference Date 1996/11/22(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) Indexing and Classification of News Video Articles by Speech, Character and Image Recognition
Sub Title (in English)
Keyword(1) news video
Keyword(2) indexing
Keyword(3) news article classification
Keyword(4) telop recognition
Keyword(5) keyword spotting
Keyword(6) subspace method
Keyword(7) face recognition
1st Author's Name Y. ARIKI
1st Author's Affiliation Faculty of Science and Technology, Ryukoku University()
2nd Author's Name Y. SUGIYAMA
2nd Author's Affiliation Faculty of Science and Technology, Ryukoku University
3rd Author's Name N. ISHIKAWA
3rd Author's Affiliation Faculty of Science and Technology, Ryukoku University
4th Author's Name T. TERANISHI
4th Author's Affiliation Faculty of Science and Technology, Ryukoku University
5th Author's Name M. SAKURAI
5th Author's Affiliation Faculty of Science and Technology, Ryukoku University
Date 1996/11/22
Paper # PRMU96-97
Volume (vol) vol.96
Number (no) 385
Page pp.pp.-
#Pages 8
Date of Issue