Thesis Details

Automatická kategorizace fotografií podle obsahu

Bachelor's Thesis Student: Němec Ladislav Academic Year: 2014/2015 Supervisor: Veľas Martin, Ing., Ph.D.
English title
Automatic Content-Based Image Categorization
Language
Czech
Abstract

This thesis deals with automatic content-based image classification. The main goal of this work is implementation of application which is able to perform this task automatically. The solution consists of variable system using local image features extraction and visual vocabulary built by k-means method. Bag Of Words representation is used as a global feature describing each image. Support Vector Machines - the final component of this system - perform the classification based on this representation. In the last chapter, the results of this experimental system are presented.

Keywords

automatic content-based image categorization, local features, interesting points, SURF, k-means, visual codebook, visual word, Bag Of Words, Support Vector Machines, OpenCV library.

Department
Department of Computer Graphics and Multimedia FIT BUT
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
16 June 2015
Reviewer
Španěl Michal, Ing., Ph.D.
Committee
Smrž Pavel, doc. RNDr., Ph.D. (DCGM FIT BUT), předseda
Fučík Otto, doc. Dr. Ing. (DCSY FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Smrčka Aleš, Ing., Ph.D. (DITS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
NĚMEC, Ladislav. Automatická kategorizace fotografií podle obsahu. Brno, 2015. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2015-06-16. Supervised by Veľas Martin. Available from: https://www.fit.vut.cz/study/thesis/17022/
BibTeX 
@bachelorsthesis{FITBT17022,
    author = "Ladislav N\v{e}mec",
    type = "Bachelor's thesis",
    title = "Automatick\'{a} kategorizace fotografi\'{i} podle obsahu",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2015,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17022/"
}

Theses

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