Thesis Details

Odhad osobnostních vlastností z videa

Bachelor's Thesis Student: Čigáš Patrik Academic Year: 2016/2017 Supervisor: Hradiš Michal, Ing., Ph.D.
English title
Apparent Personality Analysis from Video
Language
Czech
Abstract

This bachelor thesis deals with experiments with systems for apparent personality analysis from video, and compares accuracy of these systems. Systems from the experiments are created by linear regression and convolutional neural networks. Experiments compare accuracy of linear regressors processing visual and audial modality of video. On spectograms made from audial modality of video, thesis evaluates  results of convolutional neural networks with varying number of convolutional and fully connected layers nad subsequently compares accuracy of regression solution and classification solution of the problem. For visual modality of video the thesis compares information values of gaze movement and face landmarks movement. System processing face landmarks movement reaches the best results in the experiments.

Keywords

Apparent personality analysis, first impression, video processing, convolutional neural networks, big five

Department
Degree Programme
Information Technology
Files
Status
defended, grade B
Date
14 June 2017
Reviewer
Committee
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT), předseda
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Martínek Tomáš, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT), člen
Citation
ČIGÁŠ, Patrik. Odhad osobnostních vlastností z videa. Brno, 2017. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-14. Supervised by Hradiš Michal. Available from: https://www.fit.vut.cz/study/thesis/17160/
BibTeX
@bachelorsthesis{FITBT17160,
    author = "Patrik \v{C}ig\'{a}\v{s}",
    type = "Bachelor's thesis",
    title = "Odhad osobnostn\'{i}ch vlastnost\'{i} z videa",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/17160/"
}
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