Thesis Details

Vyhledávání zájmových objektů ve videu

Master's Thesis Student: Iakymets Bohdan Academic Year: 2018/2019 Supervisor: Beran Vítězslav, doc. Ing., Ph.D.
English title
Object Instance Search in Video
Language
Czech
Abstract

This work focuses on creating mobile application, that helps visitors of galleries and museums to find, in a more easier way, interesting information about visual art objects.

Keywords

Artificial neural network, convolutional neural network, deep learning, computer vision, image recognition

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology, Field of Study Management and Information Technologies
Files
Status
defended, grade D
Date
17 July 2020
Reviewer
Zemčík Pavel, prof. Dr. Ing.
Committee
Rogalewicz Adam, doc. Mgr., Ph.D. (DITS FIT BUT), předseda
Bartík Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Chudý Peter, doc. Ing., Ph.D. MBA (DCGM FIT BUT), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Rychlý Marek, RNDr., Ph.D. (DIFS FIT BUT), člen
Veselý Vladimír, Ing., Ph.D. (DIFS FIT BUT), člen
Citation
IAKYMETS, Bohdan. Vyhledávání zájmových objektů ve videu. Brno, 2019. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2020-07-17. Supervised by Beran Vítězslav. Available from: https://www.fit.vut.cz/study/thesis/16137/
BibTeX 
@mastersthesis{FITMT16137,
    author = "Bohdan Iakymets",
    type = "Master's thesis",
    title = "Vyhled\'{a}v\'{a}n\'{i} z\'{a}jmov\'{y}ch objekt\r{u} ve videu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2020,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/16137/"
}

Theses

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