Thesis Details

Robustní detekce projekčního plátna a promítaných slidů ve videu

Bachelor's Thesis Student: Hanzel Svätopluk Academic Year: 2018/2019 Supervisor: Szőke Igor, Ing., Ph.D.
English title
Robust Screen and Slide Detection in Video
Language
Czech
Abstract

The main goal of this bachelor thesis is implementation of a robust screen detector with slide synchronization using various techniques including neural networks, keypoints extraction and matching, text extraction using OCR and text matching. These methods are also analysed and compared to their possible alternatives.

Keywords

screen detection, object detection, image matching, image comparison, slide synchronization, neural network, faster r-cnn, opencv, orb, tensorflow, ocr, text comparison, bag of words, cosine similarity

Department
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
12 June 2019
Reviewer
Committee
Hruška Tomáš, prof. Ing., CSc. (DIFS FIT BUT), předseda
Bidlo Michal, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Kreslíková Jitka, doc. RNDr., CSc. (DIFS FIT BUT), člen
Szőke Igor, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
HANZEL, Svätopluk. Robustní detekce projekčního plátna a promítaných slidů ve videu. Brno, 2019. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2019-06-12. Supervised by Szőke Igor. Available from: https://www.fit.vut.cz/study/thesis/14328/
BibTeX
@bachelorsthesis{FITBT14328,
    author = "Sv{\"{a}}topluk Hanzel",
    type = "Bachelor's thesis",
    title = "Robustn\'{i} detekce projek\v{c}n\'{i}ho pl\'{a}tna a prom\'{i}tan\'{y}ch slid\r{u} ve videu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2019,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/14328/"
}
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