ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

  1. 文献種別
  2. 学術雑誌論文/Journal Article
  1. 研究者
  2. 情報アーキテクチャ学科
  3. 川嶋 稔夫 (Kawashima, Toshio)

Automatic Keyword Extraction from Historical Document Images

http://hdl.handle.net/10445/5732
http://hdl.handle.net/10445/5732
aff0532d-90e5-4941-bc19-2c046660c886
名前 / ファイル ライセンス アクション
kawasima_2006_7_DAS2008.pdf kawasima_2006_7_DAS2008.pdf (1.4 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2011-03-01
タイトル
タイトル Automatic Keyword Extraction from Historical Document Images
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
著者 寺沢, 憲吾

× 寺沢, 憲吾

WEKO 38
e-Rad 10435985

ja 寺沢, 憲吾
ISNI


Search repository
長崎, 健

× 長崎, 健

WEKO 40
e-Rad 70325893

ja 長崎, 健
ISNI


Search repository
川嶋, 稔夫

× 川嶋, 稔夫

WEKO 72
e-Rad 20152952

ja 川嶋, 稔夫
ISNI


Search repository
抄録
内容記述タイプ Abstract
内容記述 This paper presents an automatic keyword extraction method from historical document images. The proposed method is language independent because it is purely appearance based, where neither lexical information nor any other statistical language models are required. Moreover, since it does not need word segmentation, it can be applied to Eastern languages where they do not put clear spacing between words. The first half of the paper describes the algorithm to retrieve document image regions which have similar appearance to the given query image. The algorithm was evaluated in recall-precision manner, and showed its performance of over 80?90% average precision. The second half of the paper describes the keyword extraction method which works even if no query word is explicitly specified. Since the computational cost was reduced by the efficient pruning techniques, the system could extract keywords successfully from relatively large documents.
書誌情報 7th IAPR Workshop on Document Analysis Systems

巻 LNCS 3872, p. 413-424, 発行日 2006-02-13
査読有無
値 あり/yes
研究業績種別
値 原著論文/Original Paper
単著共著
値 共著/joint
権利
権利情報 copyright©2006 Springer.http://www.springerlink.com/content/722l7h0p17172167/
The original publication is available at www.springerlink.com
著者版フラグ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
出版者
出版者 Springer
戻る
0
views
See details
Views

Versions

Ver.1 2023-06-20 14:20:53.747342
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR 2.0
  • OAI-PMH JPCOAR 1.0
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3