Expansion of queries and databases for improving the retrieval accuracy of document portions: An application to a camera-pen system

Koichi Kise, Masakazu Iwamura, Megumi Chikano, Seiichi Uchida, Kazumasa Iwata, Shinichiro Omachi

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

12 被引用数 (Scopus)

抄録

This paper presents a method of improving the accuracy of document image retrieval focusing on the application to a camera-pen system. In a camera-pen system, document image retrieval is employed for locating the pen-tip position on a page. A serious problem is that since the camera is mounted close to the pen-tip, the camera captures only a tiny portion of the page and the resultant image is under severe perspective distortion, resulting in lowering the retrieval accuracy. To solve this problem, we propose new geometrically invariant features as well as expansion techniques which increase the number of index features of either the database or the query images. Prom the experimental results, it has been found that the query expansion technique with features by combining affine and perspective invariants allows us the best performance that improves the accuracy of a baseline method more than 27%.

本文言語英語
ホスト出版物のタイトルProceedings of the 9th IAPR International Workshop on Document Analysis Systems, DAS '10
ページ309-316
ページ数8
DOI
出版ステータス出版済み - 2010
イベント2010 IAPR Workshop on Document Analysis Systems, DAS 2010 - Boston, MA, 米国
継続期間: 6月 9 20106月 11 2010

出版物シリーズ

名前ACM International Conference Proceeding Series

その他

その他2010 IAPR Workshop on Document Analysis Systems, DAS 2010
国/地域米国
CityBoston, MA
Period6/9/106/11/10

!!!All Science Journal Classification (ASJC) codes

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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