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master's thesis
Ekstrakcija teksta iz stripa Alan Ford
2023. urn:nbn:hr:166:493035
Čagalj, Filipa
University of Split
Faculty of Science
Department of Informatics

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Čagalj, F. (2023). Ekstrakcija teksta iz stripa Alan Ford (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:493035

Čagalj, Filipa. "Ekstrakcija teksta iz stripa Alan Ford." Master's thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:493035

Čagalj, Filipa. "Ekstrakcija teksta iz stripa Alan Ford." Master's thesis, University of Split, Faculty of Science, 2023. https://urn.nsk.hr/urn:nbn:hr:166:493035

Čagalj, F. (2023). 'Ekstrakcija teksta iz stripa Alan Ford', Master's thesis, University of Split, Faculty of Science, accessed 23 April 2024, https://urn.nsk.hr/urn:nbn:hr:166:493035

Čagalj F. Ekstrakcija teksta iz stripa Alan Ford [Master's thesis]. Split: University of Split, Faculty of Science; 2023 [cited 2024 April 23] Available at: https://urn.nsk.hr/urn:nbn:hr:166:493035

F. Čagalj, "Ekstrakcija teksta iz stripa Alan Ford", Master's thesis, University of Split, Faculty of Science, Split, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:166:493035

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Metadata
TitleEkstrakcija teksta iz stripa Alan Ford
Title (english)Text Extraction from Alan Ford Comic Book
AuthorFilipa Čagalj
MentorBranko Žitko (mentor)
Committee memberBranko Žitko (predsjednik povjerenstva)
Committee memberAni Grubišić (član povjerenstva)
Committee memberLucija Bročić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Informatics)
Split
Defense date and country2023-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom diplomskom radu istražujemo metode i alate za prepoznavanje oblačića i ekstrakciju slika u stripovima, te evaluiramo njihovu točnost i korisnost na primjerima stripa Alan Ford. Posebno se fokusiramo na prilagodbu odabranog alata za analizu Alan Ford stripova. Analiziramo relevantnu literaturu, opisujemo korištene metode i procjenjujemo njihovu učinkovitost. Rad zaključujemo s glavnim nalazima i smjernicama za buduća istraživanja. Ovaj rad pomaže umjetnicima, izdavačima stripova, čitateljima i znanstvenicima u analizi i stvaranju stripova.
Abstract (english)
In this thesis, we investigate methods and tools for speech bubble recognition and image extraction in comics and evaluate their accuracy and usefulness on the examples of Alan Ford comics. In particular, we focus on customizing the selected tool to analyze Alan Ford comics. We analyze the relevant literature, describe the methods used and evaluate their effectiveness. We conclude the paper with the main findings and guidelines for future research. This work helps artists, comics publishers, readers, and scholars analyze and create comics.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:493035
Study programmeTitle: Computer Science; specializations in: major in teaching
Course: major in teaching
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra edukacije informatike (magistar/magistra edukacije informatike)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2023-07-14 10:14:24