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Dynamic Adjustment of Subtitles Using Audio Fingerprints

Published: 13 October 2015 Publication History

Abstract

Anyone who ever downloaded subtitle files from the Internet has faced problems synchronizing them with the associated media files. Even with the efforts of communities on reviewing user-contributed subtitles and with mechanisms in movie players to automate the discovery of subtitles for a given media, users still face lip synchronization issues. In this work we conduct a study on several subtitle files associated with popular movies and TV series and analyze their differences. Based on that, we propose a two-phase subtitle synchronization method that annotates subtitles with audio fingerprints, which serve as synchronization anchors to the media player. Preliminary results obtained with our prototype suggest that our technique is effective and has minimal impact on the extension of subtitle formats and on media playback performance.

References

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A. Brown, R. Jones, et al. Dynamic subtitles: the user experience. In Proceedings of the 2015 ACM International Conference on Interactive Experiences for TV and Online Video. ACM, 2015.
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D. C. Bulterman, A. Jansen, et al. An efficient, streamable text format for multimedia captions and subtitles. In Proceedings of the 2007 ACM symposium on Document engineering, pages 101--110. ACM, 2007.
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C. Concolato and J. Le Feuvre. Live http streaming of video and subtitles within a browser. In Proceedings of the 4th ACM Multimedia Systems Conference, pages 146--150. ACM, 2013.
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M. Federico and M. Furini. An automatic caption alignment mechanism for off-the-shelf speech recognition technologies. Multimedia tools and applications, 72(1):21--40, 2014.
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R. Hong, M. Wang, et al. Dynamic captioning: video accessibility enhancement for hearing impairment. In Proceedings of the international conference on Multimedia, pages 421--430. ACM, 2010.
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G. Kovacs and R. C. Miller. Smart subtitles for vocabulary learning. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems, pages 853--862. ACM, 2014.
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X. Liu and W. Wang. Robustly extracting captions in videos based on stroke-like edges and spatio-temporal analysis. Multimedia, IEEE Transactions on, 14(2):482--489, 2012.
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Cited By

View all
  • (2020)Toward Assessing the Quality of Subtitles based on SRT Files ProcessingProceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3428658.3431758(153-156)Online publication date: 30-Nov-2020
  • (2018)Investigating the Influence of Subtitles Synchronization in the Viewer's Quality of ExperienceProceedings of the 17th Brazilian Symposium on Human Factors in Computing Systems10.1145/3274192.3274222(1-10)Online publication date: 22-Oct-2018
  • (2017)Investigating the Collaborative Process of Subtitles Creation and Sharing for Videos on the WebProceedings of the 23rd Brazillian Symposium on Multimedia and the Web10.1145/3126858.3131592(69-72)Online publication date: 17-Oct-2017
  • Show More Cited By

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Information & Contributors

Information

Published In

cover image ACM Conferences
MM '15: Proceedings of the 23rd ACM international conference on Multimedia
October 2015
1402 pages
ISBN:9781450334594
DOI:10.1145/2733373
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 October 2015

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Author Tags

  1. audio fingerprinting
  2. captions
  3. srt
  4. subtitles
  5. synchronization.
  6. timed-text

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  • Short-paper

Funding Sources

  • Brazilian Ministry of Science and Technology

Conference

MM '15
Sponsor:
MM '15: ACM Multimedia Conference
October 26 - 30, 2015
Brisbane, Australia

Acceptance Rates

MM '15 Paper Acceptance Rate 56 of 252 submissions, 22%;
Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

View all
  • (2020)Toward Assessing the Quality of Subtitles based on SRT Files ProcessingProceedings of the Brazilian Symposium on Multimedia and the Web10.1145/3428658.3431758(153-156)Online publication date: 30-Nov-2020
  • (2018)Investigating the Influence of Subtitles Synchronization in the Viewer's Quality of ExperienceProceedings of the 17th Brazilian Symposium on Human Factors in Computing Systems10.1145/3274192.3274222(1-10)Online publication date: 22-Oct-2018
  • (2017)Investigating the Collaborative Process of Subtitles Creation and Sharing for Videos on the WebProceedings of the 23rd Brazillian Symposium on Multimedia and the Web10.1145/3126858.3131592(69-72)Online publication date: 17-Oct-2017
  • (2016)A Lightweight and Efficient Mechanism for Fixing the Synchronization of Misaligned Subtitle DocumentsProceedings of the 2016 ACM Symposium on Document Engineering10.1145/2960811.2960812(175-184)Online publication date: 13-Sep-2016

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