Presentation | 2006-11-23 Video Identification Techniques for TV Commercials Sung-Hwan Lee, Won-Young Yoo, Young-Suk Yoon, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is expensive to put an advertisement on TV. So there's a need to monitor that TV commercials are broadcasted properly as contracted. Currently, it has been done manually. The monitoring company records all the TV programs. Then the agent checks the starting-times and the ending-times of TV commercials. Video identification techniques can be used to do it automatically. After extracting visual features that can identify commercials, we can measure similarities and identify a target video from thousands of videos. In this paper, we designed the visual feature DB and implemented TV commercial monitoring system. To construct the DB, we extracted scene change information and edge pattern histograms of TV commercial clips. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | video identification / video feature |
Paper # | PRMU2006-128 |
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Committee | PRMU |
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Conference Date | 2006/11/16(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Video Identification Techniques for TV Commercials |
Sub Title (in English) | |
Keyword(1) | video identification |
Keyword(2) | video feature |
1st Author's Name | Sung-Hwan Lee |
1st Author's Affiliation | DRM Research Team, Electroincs and Telecommunications Research Institute() |
2nd Author's Name | Won-Young Yoo |
2nd Author's Affiliation | DRM Research Team, Electroincs and Telecommunications Research Institute |
3rd Author's Name | Young-Suk Yoon |
3rd Author's Affiliation | DRM Research Team, Electroincs and Telecommunications Research Institute |
Date | 2006-11-23 |
Paper # | PRMU2006-128 |
Volume (vol) | vol.106 |
Number (no) | 375 |
Page | pp.pp.- |
#Pages | 4 |
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