Standard
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 proceeding › Conference contribution › peer-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 -