A fast caption detection method for low quality video images

Tianyi Gui, Jun Sun, Satoshi Naoi, Yutaka Katsuyama, Akihiro Minagawa, Yoshinobu Hotta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

Captions in videos are important and accurate clues for video retrieval. In this paper, we propose a fast and robust video caption detection and localization algorithm to handle low quality video images. First, the stroke response maps from complex background are extracted by a stoke filter. Then, two localization algorithms are used to locate thin stroke and thick stroke caption regions respectively. Finally, a HOG based SVM classifier is carried out on the detected results to further remove noises. Experimental results show the superior performance of our proposed method compared with existing work in terms of accuracy and speed.

Original languageEnglish
Title of host publicationProceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012
Pages302-306
Number of pages5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event10th IAPR International Workshop on Document Analysis Systems, DAS 2012 - Gold Coast, QLD, Australia
Duration: 2012 Mar 272012 Mar 29

Publication series

NameProceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012

Conference

Conference10th IAPR International Workshop on Document Analysis Systems, DAS 2012
CountryAustralia
CityGold Coast, QLD
Period12/3/2712/3/29

Keywords

  • Stroke filter
  • Text information extraction
  • Text localization

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Gui, T., Sun, J., Naoi, S., Katsuyama, Y., Minagawa, A., & Hotta, Y. (2012). A fast caption detection method for low quality video images. In Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012 (pp. 302-306). [6195383] (Proceedings - 10th IAPR International Workshop on Document Analysis Systems, DAS 2012). https://doi.org/10.1109/DAS.2012.2