Mosaicing-by-recognition for recognizing texts captured in multiple video frames

Seiichi Uchida, Hiromitsu Miyazaki, Hiroaki Sakoe

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

Text recognition in video frames is promising because of its following superiorities over text recognition in a still camera image: (1) it is possible to recognize longer texts by concatenating the frames, and (2) it is also possible to improve the quality of the text image by integrating the frames. In this paper, a mosaicing-by-recognition technique is proposed where video mosaicing and text recognition are simultaneously and collaboratively performed in a one-step manner by a dynamic programming-based optimization algorithm. In this optimization algorithm, rotation, scaling, vertical shift, and speed fluctuation of camera motion are efficiently compensated. The results of experiments to evaluate not only the accuracy of text recognition but also that of video mosaicing indicates that the proposed technique is practical and can provide reasonable results in most cases.

本文言語英語
ホスト出版物のタイトルProceedings of the 1st International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2005
ページ3-9
ページ数7
出版ステータス出版済み - 2005
イベント1st International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2005 - Seoul, 大韓民国
継続期間: 8 29 20058 29 2005

その他

その他1st International Workshop on Camera-Based Document Analysis and Recognition, CBDAR 2005
国/地域大韓民国
CitySeoul
Period8/29/058/29/05

All Science Journal Classification (ASJC) codes

  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア

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