Presentation 2013-09-26
Scene Duplicate Detection from News Videos Using Visual Features and Audio Features
Haruka KUMAGAI, Keisuke DOMAN, Ichiro IDE, Daisuke DEGUCHI, Hiroshi MURASE,
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Abstract(in English) In this report, we propose a method to detect scene duplicates from news videos. Scene duplicates are videos taking the same event from different perspectives. Recently, technology to deal with the large amount of news videos based on their contents is needed. Among them, we are focusing on the scene duplicate detection problem. To detect scene duplicates, we have previously proposed a region-based matching method. This previous method is robust to minor difference of perspectives. However, it was difficult to detect shots in the case of a major difference of perspectives. In order to deal with this problem, the proposed method detects scene duplicates by audio features in addition to image features. Although a detectable shot is restricted, audio features can detect scene duplicates regardless to perspectives. Therefore, we expect to accuracy to improve. Scene duplicate detection experiments were conducted using actual news videos. From the results, we confirmed the effectiveness of the proposed method.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Scene duplicate detection / difference of perspective / audio feature / image feature / news video
Paper # MVE2013-24
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Conference Information
Committee MVE
Conference Date 2013/9/19(1days)
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Paper Information
Registration To Media Experience and Virtual Environment (MVE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Scene Duplicate Detection from News Videos Using Visual Features and Audio Features
Sub Title (in English)
Keyword(1) Scene duplicate detection
Keyword(2) difference of perspective
Keyword(3) audio feature
Keyword(4) image feature
Keyword(5) news video
1st Author's Name Haruka KUMAGAI
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Keisuke DOMAN
2nd Author's Affiliation School of Information Science & Technology, Chukyo University
3rd Author's Name Ichiro IDE
3rd Author's Affiliation Graduate School of Information Science, Nagoya University
4th Author's Name Daisuke DEGUCHI
4th Author's Affiliation Information and Communications Headquarters, Nagoya University
5th Author's Name Hiroshi MURASE
5th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2013-09-26
Paper # MVE2013-24
Volume (vol) vol.113
Number (no) 227
Page pp.pp.-
#Pages 6
Date of Issue