Item type |
Symposium(1) |
公開日 |
2018-11-24 |
タイトル |
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タイトル |
資料画像中の挿絵領域の自動抽出及び画像検索システムの実装 |
タイトル |
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言語 |
en |
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タイトル |
Automatic extraction of illustration from images of documents and image retrieval |
言語 |
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言語 |
jpn |
キーワード |
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主題Scheme |
Other |
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主題 |
Deep Learning\n |
キーワード |
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主題Scheme |
Other |
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主題 |
Semantic Segmentation\n |
キーワード |
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主題Scheme |
Other |
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主題 |
Neighborhood Graph and Tree for Indexing\n |
キーワード |
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主題Scheme |
Other |
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主題 |
Content Based Image Retrieval |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
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資源タイプ |
conference paper |
著者所属 |
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国立国会図書館 |
著者所属 |
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国立国会図書館 |
著者所属 |
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国立国会図書館 |
著者所属(英) |
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en |
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National Diet Library |
著者所属(英) |
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en |
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National Diet Library |
著者所属(英) |
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en |
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National Diet Library |
著者名 |
青池, 亨
里見, 航
川島, 隆徳
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著者名(英) |
Toru, Aoike
Wataru, Satomi
Takanori, Kawashima
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論文抄録(英) |
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内容記述タイプ |
Other |
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内容記述 |
The National Diet Library is now developing techniques for automatically recognizing which areas of a printed page are illustrations and which are graphemes, as a means of improving the searchability of digitized material. The ability to distinguish between illustrations and graphemes is expected to im- prove the accuracy of OCR processing by allowing areas without graphemes to be ignored while ena- bling the application of contrast correction to areas with graphemes, thereby improving readability of the digital images. Moreover, the ability to extract areas with illustrations is expected to have practical applications for content-based retrieval of similar images. This paper focuses on the extraction of areas with illustrations and reports on the creation of a system that is consistently able to extract illustra- tions from digital images of documents as well as perform content-based retrieval of images.Services incorporating these proposed techniques will be released on a trial basis on the NDL Lab web- site. (https://lab.ndl.go.jp/). |
書誌情報 |
じんもんこん2018論文集
巻 2018,
p. 97-102,
発行日 2018-11-24
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出版者 |
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言語 |
ja |
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出版者 |
情報処理学会 |