Presentation | 2011-02-17 An analytical method of semantic content for a large amount of video archive Yoshihiko KAWAI, Mahito FUJII, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | A semantic content analysis is very important to retrieve a huge amount of video data efficiently. This paper proposes a method for extracting concepts such as objects and events from video archives based on an image processing. At first, the method calculates a feature vector for each shot based on gradient features in the local region and global features such as texture and color distribution. Two algorithms are used for calculating gradient features to improve detection accuracy. Then, the random forests method which is a kind of ensemble learning algorithm is used to decide if a shot includes a specific concept. We performed experiments to extract 130 kinds of concepts defined at TRECVID 2010 from video archives about 400 hours long. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Semantic contents analysis / bag-of-keypoints / texture feature / random forests / TRECVID |
Paper # | PRMU2010-214 |
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Committee | PRMU |
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Conference Date | 2011/2/10(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | An analytical method of semantic content for a large amount of video archive |
Sub Title (in English) | |
Keyword(1) | Semantic contents analysis |
Keyword(2) | bag-of-keypoints |
Keyword(3) | texture feature |
Keyword(4) | random forests |
Keyword(5) | TRECVID |
1st Author's Name | Yoshihiko KAWAI |
1st Author's Affiliation | Science and Technical Research Laboratories, NHK() |
2nd Author's Name | Mahito FUJII |
2nd Author's Affiliation | Science and Technical Research Laboratories, NHK |
Date | 2011-02-17 |
Paper # | PRMU2010-214 |
Volume (vol) | vol.110 |
Number (no) | 414 |
Page | pp.pp.- |
#Pages | 6 |
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