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Use of Digital Technology for the Attribution of Paintings. / Shchegoleva, N. L.; Vaulina, Y. A.
Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings. ed. / Sanjay Misra; Osvaldo Gervasi; Beniamino Murgante; Elena Stankova; Vladimir Korkhov; Carmelo Torre; Eufemia Tarantino; Ana Maria A.C. Rocha; David Taniar; Bernady O. Apduhan. Springer Nature, 2019. p. 792-801 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11622 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Harvard
Shchegoleva, NL & Vaulina, YA 2019,
Use of Digital Technology for the Attribution of Paintings. in S Misra, O Gervasi, B Murgante, E Stankova, V Korkhov, C Torre, E Tarantino, AMAC Rocha, D Taniar & BO Apduhan (eds),
Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11622 LNCS, Springer Nature, pp. 792-801, 19th International Conference on Computational Science and Its Applications, ICCSA 2019, Saint Petersburg, Russian Federation,
1/07/19.
https://doi.org/10.1007/978-3-030-24305-0_60
APA
Shchegoleva, N. L., & Vaulina, Y. A. (2019).
Use of Digital Technology for the Attribution of Paintings. In S. Misra, O. Gervasi, B. Murgante, E. Stankova, V. Korkhov, C. Torre, E. Tarantino, A. M. A. C. Rocha, D. Taniar, & B. O. Apduhan (Eds.),
Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings (pp. 792-801). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11622 LNCS). Springer Nature.
https://doi.org/10.1007/978-3-030-24305-0_60
Vancouver
Shchegoleva NL, Vaulina YA.
Use of Digital Technology for the Attribution of Paintings. In Misra S, Gervasi O, Murgante B, Stankova E, Korkhov V, Torre C, Tarantino E, Rocha AMAC, Taniar D, Apduhan BO, editors, Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings. Springer Nature. 2019. p. 792-801. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
https://doi.org/10.1007/978-3-030-24305-0_60
Author
Shchegoleva, N. L. ; Vaulina, Y. A. /
Use of Digital Technology for the Attribution of Paintings. Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings. editor / Sanjay Misra ; Osvaldo Gervasi ; Beniamino Murgante ; Elena Stankova ; Vladimir Korkhov ; Carmelo Torre ; Eufemia Tarantino ; Ana Maria A.C. Rocha ; David Taniar ; Bernady O. Apduhan. Springer Nature, 2019. pp. 792-801 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
BibTeX
@inproceedings{1fc35ababf2e4d4ab36574723d89d6b1,
title = "Use of Digital Technology for the Attribution of Paintings",
abstract = "Modern attribution of art works depends on the expert experience. This implies some subjectivity of his assessments. Recently for making a more informed decision digital image processing techniques have been used. Therefore, the study of the methods for obtaining additional information about the painting, which cannot be obtained using existing methods, is an important task. The joint use of several features extraction methods will allow increase the effectiveness of its analysis. The application developed by the authors based on using of several methods (HOG, DCT, frequency analysis of color, color moments, color histograms, LBP, Gabor filter, GLCM, Hough transform) and allows making an assumption about belonging artwork to a particular art school, style or direction. The results obtained are confirmed by historical data about his teacher and where the artist studied, and who of the masters had the greatest influence on him.",
keywords = "Application for attribution, Attribution of paintings, Color histograms, Color moments, DCT, Digital attribution, Frequency analysis of color, Gabor filter, GLCM, HOG, Hough transform, LBP",
author = "Shchegoleva, {N. L.} and Vaulina, {Y. A.}",
year = "2019",
month = jan,
day = "1",
doi = "10.1007/978-3-030-24305-0_60",
language = "English",
isbn = "9783030243043",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Nature",
pages = "792--801",
editor = "Sanjay Misra and Osvaldo Gervasi and Beniamino Murgante and Elena Stankova and Vladimir Korkhov and Carmelo Torre and Eufemia Tarantino and Rocha, {Ana Maria A.C.} and David Taniar and Apduhan, {Bernady O.}",
booktitle = "Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings",
address = "Germany",
note = "19th International Conference on Computational Science and Its Applications, ICCSA 2019 ; Conference date: 01-07-2019 Through 04-07-2019",
}
RIS
TY - GEN
T1 - Use of Digital Technology for the Attribution of Paintings
AU - Shchegoleva, N. L.
AU - Vaulina, Y. A.
N1 - Conference code: 19
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Modern attribution of art works depends on the expert experience. This implies some subjectivity of his assessments. Recently for making a more informed decision digital image processing techniques have been used. Therefore, the study of the methods for obtaining additional information about the painting, which cannot be obtained using existing methods, is an important task. The joint use of several features extraction methods will allow increase the effectiveness of its analysis. The application developed by the authors based on using of several methods (HOG, DCT, frequency analysis of color, color moments, color histograms, LBP, Gabor filter, GLCM, Hough transform) and allows making an assumption about belonging artwork to a particular art school, style or direction. The results obtained are confirmed by historical data about his teacher and where the artist studied, and who of the masters had the greatest influence on him.
AB - Modern attribution of art works depends on the expert experience. This implies some subjectivity of his assessments. Recently for making a more informed decision digital image processing techniques have been used. Therefore, the study of the methods for obtaining additional information about the painting, which cannot be obtained using existing methods, is an important task. The joint use of several features extraction methods will allow increase the effectiveness of its analysis. The application developed by the authors based on using of several methods (HOG, DCT, frequency analysis of color, color moments, color histograms, LBP, Gabor filter, GLCM, Hough transform) and allows making an assumption about belonging artwork to a particular art school, style or direction. The results obtained are confirmed by historical data about his teacher and where the artist studied, and who of the masters had the greatest influence on him.
KW - Application for attribution
KW - Attribution of paintings
KW - Color histograms
KW - Color moments
KW - DCT
KW - Digital attribution
KW - Frequency analysis of color
KW - Gabor filter
KW - GLCM
KW - HOG
KW - Hough transform
KW - LBP
UR - http://www.scopus.com/inward/record.url?scp=85068614615&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/digital-technology-attribution-paintings
U2 - 10.1007/978-3-030-24305-0_60
DO - 10.1007/978-3-030-24305-0_60
M3 - Conference contribution
AN - SCOPUS:85068614615
SN - 9783030243043
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 792
EP - 801
BT - Computational Science and Its Applications- ICCSA 2019 - 19th International Conference, Proceedings
A2 - Misra, Sanjay
A2 - Gervasi, Osvaldo
A2 - Murgante, Beniamino
A2 - Stankova, Elena
A2 - Korkhov, Vladimir
A2 - Torre, Carmelo
A2 - Tarantino, Eufemia
A2 - Rocha, Ana Maria A.C.
A2 - Taniar, David
A2 - Apduhan, Bernady O.
PB - Springer Nature
T2 - 19th International Conference on Computational Science and Its Applications, ICCSA 2019
Y2 - 1 July 2019 through 4 July 2019
ER -
