A novel method to detect the static subtitle using the saliency map

Min Hoi Kim, Bo Sang Kim, Seung Park, Sung-Jea Ko

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

Abstract

This paper presents a novel method to detect the static subtitle using the saliency map. In the proposed method, subtitle candidates are first extracted by using an unconstrained scene text detector algorithm, called FASText. Then, the saliency map is employed to select the final subtitle among the subtitle candidates. Experimental results show that the proposed method achieves more accurate subtitle detection performance as compared with the conventional methods.

Original languageEnglish
Title of host publication2018 International Workshop on Advanced Image Technology, IWAIT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-2
Number of pages2
ISBN (Electronic)9781538626153
DOIs
Publication statusPublished - 2018 May 30
Event2018 International Workshop on Advanced Image Technology, IWAIT 2018 - Chiang Mai, Thailand
Duration: 2018 Jan 72018 Jan 9

Other

Other2018 International Workshop on Advanced Image Technology, IWAIT 2018
CountryThailand
CityChiang Mai
Period18/1/718/1/9

Keywords

  • Pulse discrete cosine transform
  • Saliency map
  • Subtitle detection
  • Text detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Media Technology

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  • Cite this

    Kim, M. H., Kim, B. S., Park, S., & Ko, S-J. (2018). A novel method to detect the static subtitle using the saliency map. In 2018 International Workshop on Advanced Image Technology, IWAIT 2018 (pp. 1-2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWAIT.2018.8369652