Thesis Details

Detekce skupin a duplicit fotografií

Bachelor's Thesis Student: Václavík Vojtěch Academic Year: 2018/2019 Supervisor: Zemčík Pavel, prof. Dr. Ing.
English title
Detection of Groups and Duplicities of Photos
Language
Czech
Abstract

The bachelor's thesis aims to create an application that allows import of photographs and to sort duplicities. The application simplifies the import by showing already imported photographs and also hiding the not necessary ones. The application can also be used for finding duplicities or comparing folders, helping the user to clean their photo gallery. Other than that, it is also possible to show photographs with similar timestamps. To identify duplicates the application uses EXIF metadata included in photographs. The application was implemented in C++, graphical interface in Qt framework, work with metadata mediates EasyEXIF library and the database communication uses SQLite library.

Keywords

Digital photo, Metadata, Exif, Import photos, Duplicate photos, C++, Qt framework, SQLite library, EasyEXIF library

Department
Degree Programme
Information Technology
Files
Status
defended, grade D
Date
12 June 2019
Reviewer
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Beran Vítězslav, doc. Ing., Ph.D. (DCGM FIT BUT), člen
Burget Radek, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Lengál Ondřej, Ing., Ph.D. (DITS FIT BUT), člen
Citation
VÁCLAVÍK, Vojtěch. Detekce skupin a duplicit fotografií. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-12. Supervised by Zemčík Pavel. Available from: https://www.fit.vut.cz/study/thesis/21697/
BibTeX
@bachelorsthesis{FITBT21697,
    author = "Vojt\v{e}ch V\'{a}clav\'{i}k",
    type = "Bachelor's thesis",
    title = "Detekce skupin a duplicit fotografi\'{i}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/21697/"
}
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