Presentation 2014-01-24
A BoVW-based similar image Retrieval Supported by Salient Region
Zijun ZOU, Hisashi KOGA,
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Abstract(in English) The Bag of Visual Words(BoVW) model is prevailing in the area of image retrieval. However, because the BoVW model treats all feature points equally, the importance of the foreground which represents the semantics of an image well is ignored. This paper proposes a new BoVW-based similar image retrieval method paying attention to the similarity of the foreground. Our method assumes that the foreground location in an image can be approximated by its salient region and examines the similarity between the salient regions of two images. Specifically, we divide the given image into the foreground and the background by binarizing its saliency map and extract the foreground feature histogram from the foreground region. Finally, the similarity between a pair of images is calculated by summing up the similarity of the foreground feature histograms and that of the global feature histograms derived from the entire images. Our method is expected to improve the retrieval accuracy, since the foreground similarity is emphasized. The experiment on the Caltech-101 image database shows that the recall is surely improved by our method as compared with the conventional BoVW method.
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Keyword(in English) Similar image retrieval / SIFT / Bag of Visual Words / Saliency map
Paper # PRMU2013-110,MVE2013-51
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Conference Information
Committee MVE
Conference Date 2014/1/16(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) A BoVW-based similar image Retrieval Supported by Salient Region
Sub Title (in English)
Keyword(1) Similar image retrieval
Keyword(2) SIFT
Keyword(3) Bag of Visual Words
Keyword(4) Saliency map
1st Author's Name Zijun ZOU
1st Author's Affiliation Graduate School of Information Systems, University of Electro-Communications()
2nd Author's Name Hisashi KOGA
2nd Author's Affiliation Graduate School of Information Systems, University of Electro-Communications
Date 2014-01-24
Paper # PRMU2013-110,MVE2013-51
Volume (vol) vol.113
Number (no) 403
Page pp.pp.-
#Pages 6
Date of Issue