Presentation 2006-07-27
Detection of Text Sections which contain typical forms from Closed Captions using AdaBoost Algorithm
Ichiro YAMADA, Kikuka MIURA, Hideki SUMIYOSHI, Nobuyuki YAGI, Manabu OKUMURA, Takenobu TOKUNAGA,
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Abstract(in English) In the closed captions, there are a lot of typical expressions to express specific things, for example, first introduction of a guest in a talk show or explanation of a place in travel program. Such information helps us to put metadata to the corresponding scenes. This paper proposes a method to extract a section including typical expressions. The first step generates tree structures from inputted section of sentences and evaluates the similarities between those tree structures. We use these similarities as weak learners of adaboost algorism to judge whether the section of sentences includes typical expressions or not. In the experiment of detecting sections including typical expressions which explain a place with video targeting closed captions of TV programs concerned with travel, we show the effectiveness of our method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Metadata / Typical expression extraction / Closed-caption / Tree Structure / AdaBoost Algorithm
Paper # NLC2006-5
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Committee NLC
Conference Date 2006/7/20(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) Detection of Text Sections which contain typical forms from Closed Captions using AdaBoost Algorithm
Sub Title (in English)
Keyword(1) Metadata
Keyword(2) Typical expression extraction
Keyword(3) Closed-caption
Keyword(4) Tree Structure
Keyword(5) AdaBoost Algorithm
1st Author's Name Ichiro YAMADA
1st Author's Affiliation NHK Science & Technical Research Laboratories()
2nd Author's Name Kikuka MIURA
2nd Author's Affiliation NHK Science & Technical Research Laboratories
3rd Author's Name Hideki SUMIYOSHI
3rd Author's Affiliation NHK Science & Technical Research Laboratories
4th Author's Name Nobuyuki YAGI
4th Author's Affiliation NHK Science & Technical Research Laboratories
5th Author's Name Manabu OKUMURA
5th Author's Affiliation Precision & Intelligence Laboratory, Tokyo Institute of Technology
6th Author's Name Takenobu TOKUNAGA
6th Author's Affiliation Department of Computer Science, Tokyo Institute of Technology
Date 2006-07-27
Paper # NLC2006-5
Volume (vol) vol.106
Number (no) 190
Page pp.pp.-
#Pages 6
Date of Issue