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- 柳井 啓司
- 電気通信大学 情報工学科
書誌事項
- タイトル別名
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- Web Image Gathering with Probabilistic Models
- カクリツテキ Web ガゾウ シュウシュウ
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抄録
We propose a novel probabilistic image selection method for the Web image gathering system we proposed before. It employed two-step processing: (1) Gather HTML files of Web pages related to given keywords, analyze them and fetch only Web images expected to be highly related to the keywords. (2) Select only relevant images from the gathered images based on the image-feature-based clustering. In this paper, we propose building a generative model based on the Gaussian mixture model to represent the distribution of image features of images related to the given keywords, and applying it to select images instead of the processing (2). We call the new system ``Probabilistic Image Collector''. We show the effectiveness of our proposed system by the experimental results.
収録刊行物
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- 人工知能学会論文誌
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人工知能学会論文誌 22 (1), 10-18, 2007
一般社団法人 人工知能学会
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詳細情報 詳細情報について
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- CRID
- 1390001205108950272
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- NII論文ID
- 10022006934
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- NII書誌ID
- AA11579226
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- ISSN
- 13468030
- 13460714
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- NDL書誌ID
- 9603162
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可