Presentation 2011-01-20
Object Retrieving from Image Database
Bao Nguyen Thien, Yoshiaki Shirai,
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Abstract(in English) This research focuses on developing a system that can retrieval objects from large image database by exploring the types of image features necessary for recognition of common objects in scene. Then we make global representation for these features that can be used in learning. After that, we figure out a novel method for generic object detecting in still images with automatically choosing feature. Our method is simple, computationally efficient and bases on features that is easily seen by naked-eye and very close with natural detecting by human. The main advantage of this method is that it can automatically choose features which are best for detecting one type of object. We present experimental results for detecting many visual categories including side view car, front view car, bike, motorbike, train, aero plane, horse, and sheep. Results clearly demonstrate that the proposed method is robust and produces good detection accuracy rate.
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Keyword(in English) Object Detection / Image Processing / Computer Vision
Paper # PRMU2010-168,MVE2010-93
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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 ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Object Retrieving from Image Database
Sub Title (in English)
Keyword(1) Object Detection
Keyword(2) Image Processing
Keyword(3) Computer Vision
1st Author's Name Bao Nguyen Thien
1st Author's Affiliation Graduate School of Information Science and Engineering, Ritsumeikan University()
2nd Author's Name Yoshiaki Shirai
2nd Author's Affiliation Graduate School of Information Science and Engineering, Ritsumeikan University
Date 2011-01-20
Paper # PRMU2010-168,MVE2010-93
Volume (vol) vol.110
Number (no) 381
Page pp.pp.-
#Pages 6
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