Presentation 2011-01-21
Video-based Generic Object Recognition by Combining Motion Features and BoF
Shogo NAKAMURA, Daisuke DEGUCHI, Tomokazu TAKAHASHI, Ichiro IDE, Hiroshi MURASE,
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Abstract(in English) It has been needed to recognize objects in videos and attach tags automatically so as to categorize and search a large amount of videos on the Web. Recently, generic object recognition has been studied for still images actively, but not almost for videos. As for the generic object recognition in a video, it is important to make use of the features from various frames involved in the video efficiently. In this paper, we propose a method of recognizing generic objects in videos by combining BoF of each frames and motion features of consecutive frames. Experimental results showed the effectiveness of integrated use of motion features.
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Keyword(in English) generic object recognition / video classification / optical flow / bag of features
Paper # PRMU2010-206,MVE2010-131
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Conference Information
Committee PRMU
Conference Date 2011/1/13(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) Video-based Generic Object Recognition by Combining Motion Features and BoF
Sub Title (in English)
Keyword(1) generic object recognition
Keyword(2) video classification
Keyword(3) optical flow
Keyword(4) bag of features
1st Author's Name Shogo NAKAMURA
1st Author's Affiliation Graduate School of Information Science, Nagoya University()
2nd Author's Name Daisuke DEGUCHI
2nd Author's Affiliation Graduate School of Information Science, Nagoya University
3rd Author's Name Tomokazu TAKAHASHI
3rd Author's Affiliation Faculty of Economics and Information, Gifu Shotoku Gakuen University
4th Author's Name Ichiro IDE
4th Author's Affiliation Graduate School of Information Science, Nagoya University
5th Author's Name Hiroshi MURASE
5th Author's Affiliation Graduate School of Information Science, Nagoya University
Date 2011-01-21
Paper # PRMU2010-206,MVE2010-131
Volume (vol) vol.110
Number (no) 381
Page pp.pp.-
#Pages 6
Date of Issue