A hierarchical visual saliency model for character detection in natural scenes

Renwu Gao, Faisal Shafait, Seiichi Uchida, Yaokai Feng

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

5 被引用数 (Scopus)

抄録

Visual saliency models have been introduced to the field of character recognition for detecting characters in natural scenes. Researchers believe that characters have different visual properties from their non-character neighbors, which make them salient. With this assumption, characters should response well to computational models of visual saliency. However in some situations, characters belonging to scene text mignt not be as salient as one might expect. For instance, a signboard is usually very salient but the characters on the signboard might not necessarily be so salient globally. In order to analyze this hypothesis in more depth, we first give a view of how much these background regions, such as sign boards, affect the task of saliency-based character detection in natural scenes. Then we propose a hierarchical-saliency method for detecting characters in natural scenes. Experiments on a dataset with over 3,000 images containing scene text show that when using saliency alone for scene text detection, our proposed hierarchical method is able to capture a larger percentage of text pixels as compared to the conventional single-pass algorithm.

本文言語英語
ホスト出版物のタイトルCamera-Based Document Analysis and Recognition - 5th International Workshop, CBDAR 2013, Revised Selected Papers
出版社Springer Verlag
ページ18-29
ページ数12
ISBN(印刷版)9783319051666
DOI
出版ステータス出版済み - 2014
イベント5th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2013 - Washington, DC, 米国
継続期間: 8月 23 20138月 23 2013

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
8357 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他5th International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2013
国/地域米国
CityWashington, DC
Period8/23/138/23/13

!!!All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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