Presentation | 2006-03-16 Hierarchical Clustering Of Feature Vectors at Visual Attentional Points Jun SAITO, Hayato YAMANA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In Content-based image retrieval, the classifications is needed for better performances of (i) speeds of retrieval and (ii) semanticity of retrieval. Our system extracts the most attentional points by using a selective visual attention model which extracts feature vectors of attentional points in images. And our system classifies feature vectors by hierarchical clustering with residuals. An attentional point in an image is outlier in an image, or special outlier. We propose extension of selective attention model to extract temporal outlier with residual vectors, and the method of moving attentional points weighted by a cancroid of a category extracted. This paper shows that the outlier extraction idea of selective visual attention is extensible to extract hierarchical categories. And also, this paper shows that our method can select an image point which belongs to an extracted category. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Selective Visual Attention / Content-based Image Retrieval / Hierarchical Clustering With Residual |
Paper # | PRMU2005-241 |
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Committee | PRMU |
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Conference Date | 2006/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Hierarchical Clustering Of Feature Vectors at Visual Attentional Points |
Sub Title (in English) | |
Keyword(1) | Selective Visual Attention |
Keyword(2) | Content-based Image Retrieval |
Keyword(3) | Hierarchical Clustering With Residual |
1st Author's Name | Jun SAITO |
1st Author's Affiliation | () |
2nd Author's Name | Hayato YAMANA |
2nd Author's Affiliation | Science and Engineering Waseda, University Okubo:National Institute of Informatics Hitotsubashi |
Date | 2006-03-16 |
Paper # | PRMU2005-241 |
Volume (vol) | vol.105 |
Number (no) | 673 |
Page | pp.pp.- |
#Pages | 6 |
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