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Pregled bibliografske jedinice broj: 647917

Automated Painter Recognition Based on Image Feature Extraction


Cetinić, Eva; Grgić, Sonja
Automated Painter Recognition Based on Image Feature Extraction // Proceedings of the 55th International Symposium ELMAR-2013 / Božek, Jelena ; Grgić, Mislav ; Zovko-Cihlar, Branka (ur.).
Zagreb: Croatian Society Electronics in Marine, 2013. str. 19-22 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


CROSBI ID: 647917 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Automated Painter Recognition Based on Image Feature Extraction

Autori
Cetinić, Eva ; Grgić, Sonja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of the 55th International Symposium ELMAR-2013 / Božek, Jelena ; Grgić, Mislav ; Zovko-Cihlar, Branka - Zagreb : Croatian Society Electronics in Marine, 2013, 19-22

ISBN
978-953-7044-14-5

Skup
International Symposium ELMAR

Mjesto i datum
Zadar, Hrvatska, 25.-27.09.2013

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
image feature extraction; painter recognition; painting classification; visual art

Sažetak
This paper describes an approach to automated classification of paintings by artist. The individual style of an artist is recognized through specific elements of a painting which distinguishes the work of an individual from the works of others. The proposed method for automating the task of artist recognition focuses on the measurable elements in a painting which are represented with a set of global image features. The set of computed image descriptors includes statistical features that describe the intensity of a grayscale image, features based on color and textural features obtained using different techniques. Several classifiers were tested and their performance was evaluated on a collection of 500 digital captures of artistic paintings from 20 different artists, obtained from various Internet sources. Experimental results show overall classification accuracy of 75%. Comparison to the results of other painting classification approaches is difficult because this paper introduces several artists that have not been previously tested for automated painting classification, and due to the fact that image databases of existing classification methods vary highly in size and content.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo



POVEZANOST RADA


Projekti:
036-0361630-1635 - Upravljanje kvalitetom slike u radiodifuziji digitalnog videosignala (Grgić, Sonja, MZOS ) ( POIROT)
036-0982560-1643 - Inteligentno određivanje značajki slike u sustavima za otkrivanje znanja (Grgić, Mislav, MZOS ) ( POIROT)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Sonja Grgić (autor)

Avatar Url Eva Cetinić (autor)


Citiraj ovu publikaciju

Cetinić, Eva; Grgić, Sonja
Automated Painter Recognition Based on Image Feature Extraction // Proceedings of the 55th International Symposium ELMAR-2013 / Božek, Jelena ; Grgić, Mislav ; Zovko-Cihlar, Branka (ur.).
Zagreb: Croatian Society Electronics in Marine, 2013. str. 19-22 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Cetinić, E. & Grgić, S. (2013) Automated Painter Recognition Based on Image Feature Extraction. U: Božek, J., Grgić, M. & Zovko-Cihlar, B. (ur.)Proceedings of the 55th International Symposium ELMAR-2013.
@article{article, year = {2013}, pages = {19-22}, keywords = {image feature extraction, painter recognition, painting classification, visual art}, isbn = {978-953-7044-14-5}, title = {Automated Painter Recognition Based on Image Feature Extraction}, keyword = {image feature extraction, painter recognition, painting classification, visual art}, publisher = {Croatian Society Electronics in Marine}, publisherplace = {Zadar, Hrvatska} }
@article{article, year = {2013}, pages = {19-22}, keywords = {image feature extraction, painter recognition, painting classification, visual art}, isbn = {978-953-7044-14-5}, title = {Automated Painter Recognition Based on Image Feature Extraction}, keyword = {image feature extraction, painter recognition, painting classification, visual art}, publisher = {Croatian Society Electronics in Marine}, publisherplace = {Zadar, Hrvatska} }




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