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Detection and Localization of Embedded Subtitles in a Video Stream. / Valery, Grishkin; Jean, Sene.

Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. ed. / Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Chiara Garau; Ivan Blecic; David Taniar; Bernady O. Apduhan; Ana Maria A.C. Rocha; Eufemia Tarantino; Carmelo Maria Torre; Yeliz Karaca. Springer Nature, 2020. p. 119-128 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12254 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Harvard

Valery, G & Jean, S 2020, Detection and Localization of Embedded Subtitles in a Video Stream. in O Gervasi, B Murgante, S Misra, C Garau, I Blecic, D Taniar, BO Apduhan, AMAC Rocha, E Tarantino, CM Torre & Y Karaca (eds), Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12254 LNCS, Springer Nature, pp. 119-128, 20th International Conference on Computational Science and Its Applications, ICCSA 2020, Cagliari, Italy, 1/07/20. https://doi.org/10.1007/978-3-030-58817-5_10

APA

Valery, G., & Jean, S. (2020). Detection and Localization of Embedded Subtitles in a Video Stream. In O. Gervasi, B. Murgante, S. Misra, C. Garau, I. Blecic, D. Taniar, B. O. Apduhan, A. M. A. C. Rocha, E. Tarantino, C. M. Torre, & Y. Karaca (Eds.), Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings (pp. 119-128). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12254 LNCS). Springer Nature. https://doi.org/10.1007/978-3-030-58817-5_10

Vancouver

Valery G, Jean S. Detection and Localization of Embedded Subtitles in a Video Stream. In Gervasi O, Murgante B, Misra S, Garau C, Blecic I, Taniar D, Apduhan BO, Rocha AMAC, Tarantino E, Torre CM, Karaca Y, editors, Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. Springer Nature. 2020. p. 119-128. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-58817-5_10

Author

Valery, Grishkin ; Jean, Sene. / Detection and Localization of Embedded Subtitles in a Video Stream. Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. editor / Osvaldo Gervasi ; Beniamino Murgante ; Sanjay Misra ; Chiara Garau ; Ivan Blecic ; David Taniar ; Bernady O. Apduhan ; Ana Maria A.C. Rocha ; Eufemia Tarantino ; Carmelo Maria Torre ; Yeliz Karaca. Springer Nature, 2020. pp. 119-128 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

BibTeX

@inproceedings{0b7a91ba2ef84f52b427de0afd546421,
title = "Detection and Localization of Embedded Subtitles in a Video Stream",
abstract = "Videos with superimposed external subtitles constitute the major part of modern video content. However, there are quite a lot of diverse videos with embedded subtitles as well. In this regard, the problem arises of extracting and converting embedded subtitles into modern formats of external subtitles. Important steps in solving this problem are detection, localization, and binding of these subtitles to frames of the video stream. This paper proposes a method for detection and localization of embedded subtitles in video stream. The method is based on the search for static regions in the frames of the video stream and subsequent analysis of the connected areas inside them. Based on the results of this analysis, we determine whether a region belongs to the area of subtitles and localize text strings in the detected subtitles. The proposed method does not require large computational costs and can work in real time.",
keywords = "Embedded subtitles, Image segmentation, Subtitles localization",
author = "Grishkin Valery and Sene Jean",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 20th International Conference on Computational Science and Its Applications, ICCSA 2020 ; Conference date: 01-07-2020 Through 04-07-2020",
year = "2020",
doi = "10.1007/978-3-030-58817-5_10",
language = "English",
isbn = "9783030588168",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "119--128",
editor = "Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Chiara Garau and Ivan Blecic and David Taniar and Apduhan, {Bernady O.} and Rocha, {Ana Maria A.C.} and Eufemia Tarantino and Torre, {Carmelo Maria} and Yeliz Karaca",
booktitle = "Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings",
address = "Germany",
url = "http://iccsa.org/",

}

RIS

TY - GEN

T1 - Detection and Localization of Embedded Subtitles in a Video Stream

AU - Valery, Grishkin

AU - Jean, Sene

N1 - Publisher Copyright: © 2020, Springer Nature Switzerland AG.

PY - 2020

Y1 - 2020

N2 - Videos with superimposed external subtitles constitute the major part of modern video content. However, there are quite a lot of diverse videos with embedded subtitles as well. In this regard, the problem arises of extracting and converting embedded subtitles into modern formats of external subtitles. Important steps in solving this problem are detection, localization, and binding of these subtitles to frames of the video stream. This paper proposes a method for detection and localization of embedded subtitles in video stream. The method is based on the search for static regions in the frames of the video stream and subsequent analysis of the connected areas inside them. Based on the results of this analysis, we determine whether a region belongs to the area of subtitles and localize text strings in the detected subtitles. The proposed method does not require large computational costs and can work in real time.

AB - Videos with superimposed external subtitles constitute the major part of modern video content. However, there are quite a lot of diverse videos with embedded subtitles as well. In this regard, the problem arises of extracting and converting embedded subtitles into modern formats of external subtitles. Important steps in solving this problem are detection, localization, and binding of these subtitles to frames of the video stream. This paper proposes a method for detection and localization of embedded subtitles in video stream. The method is based on the search for static regions in the frames of the video stream and subsequent analysis of the connected areas inside them. Based on the results of this analysis, we determine whether a region belongs to the area of subtitles and localize text strings in the detected subtitles. The proposed method does not require large computational costs and can work in real time.

KW - Embedded subtitles

KW - Image segmentation

KW - Subtitles localization

UR - http://www.scopus.com/inward/record.url?scp=85092606816&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-58817-5_10

DO - 10.1007/978-3-030-58817-5_10

M3 - Conference contribution

AN - SCOPUS:85092606816

SN - 9783030588168

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 119

EP - 128

BT - Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Misra, Sanjay

A2 - Garau, Chiara

A2 - Blecic, Ivan

A2 - Taniar, David

A2 - Apduhan, Bernady O.

A2 - Rocha, Ana Maria A.C.

A2 - Tarantino, Eufemia

A2 - Torre, Carmelo Maria

A2 - Karaca, Yeliz

PB - Springer Nature

T2 - 20th International Conference on Computational Science and Its Applications, ICCSA 2020

Y2 - 1 July 2020 through 4 July 2020

ER -

ID: 86276349