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Interactive web applications for education of color theory
Koroleva, Anfisa ; Přinosil, Jiří (referee) ; Rajmic, Pavel (advisor)
This bachelor thesis deals with the issue of interpretation of colors and color images in computer graphics. Specifically, the work is focused on the development of simple web applications – applets that will serve for interactive submission of methods used in the field of computer processing of color images. The created applets should demonstrate the relevant theory relating to color mixing in different color models, conversion of a color image to a gray-scale image, conversion of a gray-scale image to a false-color image, conversion of physical light into CIE XYZ and L*a*b* color spaces. The first part of the thesis describes the theoretical basis for the required applets. The following practical part is dedicated to the process of implementing the applets using JavaScript and HTML.
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Deep learning based sound records analysis
Kramář, Denis ; Říha, Kamil (referee) ; Přinosil, Jiří (advisor)
This master thesis deals with the problem of audio-classification of the chainsaw logging sound in natural environment using mainly convolutional neural networks. First, a theory of grafical representation of audio signal is discussed. Following part is devoted to the machine learning area. In third chapter, some of present works dealing with this problematics are given. Within the practical part, used dataset and tested neural networks are presented. Final resultes are compared by achieved accuracy and by ROC curves. The robustness of the presented solutions was tested by proposed detection program and evaluated using objective criteria.
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4K real-time video encoding using NVENC technology
Buchta, Martin ; Přinosil, Jiří (referee) ; Kříž, Petr (advisor)
Diploma thesis is focused on real-time 4K video encoding using NVENC technology. First chapter describes the most used video codecs H.264 and HEVC. There is an explanation of the principle of graphic cards and their programmable units. Analysis of the solution of open source Video Codec SDK is also part of the thesis. The main focus of the thesis is an implementation of an application which can handle 4K video encoding from multiple cameras in real time. Performance and qualitative tests were performed for application. Results of these tests were analyzed and discussed.
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Synthesis of Sound from Images
Zavřel, Petr ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
This diploma thesis deals with the creation of sound from images. Before looking into the actual conversion of data, it takes into consideration the correlation between sound and images. Colour models of pictures used for the extraction of image data suitable for conversion into sound are examined here. Subsequently the work introduces methods for creating sound and changing its basic parameters. In order to present a suitable representation of sound, the work also explains the basics of music theory and methods of sound synthesis. The first part of the thesis offers two fully-fledged solutions using independent applications created in the MATLAB environment, where the basic principle is the division of the image into lines and the use of granular synthesis. The second part of the thesis describes the solution of the third application created in C++ language, where the emphasis is on adhering to the principles of music composition.
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Masked face detection
Malý, Ondřej ; Kříž, Petr (referee) ; Přinosil, Jiří (advisor)
The aim of this work is to study and test current methods for face detection on veiled faces and evaluate the results. In the first chapter, five selected methods are theoretically analyzed and in the second chapter the individual methods are evaluated, both for the Wider Face file and for the actual set of photos with veiled faces. Subsequently, the Dlib CNN method is improved for better detection of veiled faces and reprogrammed to detect the degree of veil from the tested image
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Camera security of the object with low data flow
Vašková, Barbora ; Jeřábek, Jan (referee) ; Přinosil, Jiří (advisor)
The topic of this master's thesis is devoted to design and realization of autonomous camera system of the selected object with possibility of remote access. The content of the theoretical part is description of components of the camera system and close analysis of the used software, including the selection of suitable components. The practical part is approaching to the initial installation of the system and verification of the functionality of individual components based on simple commands. The next step is developing an mobile application comunicattting with the camera system based on low data flow.
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An automatic football match event detection
Dvonč, Tomáš ; Říha, Kamil (referee) ; Přinosil, Jiří (advisor)
This diploma thesis describes methods suitable for automatic detection of events from video sequences focused on football matches. The first part of the work is focused on the analysis and creation of procedures for extracting informations from available data. The second part deals with the implementation of selected methods and neural network algorithm for corner kick detection. Two experiments were performed in this work. The first captures static information from one image and the second is focused on detection from spatio-temporal data. The output of this work is a program for automatic event detection, which can be used to interpret the results of the experiments. This work may figure as a basis to gain new knowledge about the issue and also to the further development of detection events from football.
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Image based smoke and fire detection
Ďuriš, Denis ; Burda, Karel (referee) ; Přinosil, Jiří (advisor)
This diploma thesis deals with the detection of fire and smoke from the image signal. The approach of this work uses a combination of convolutional and recurrent neural network. Machine learning models created in this work contain inception modules and blocks of long short-term memory. The research part describes selected models of machine learning used in solving the problem of fire detection in static and dynamic image data. As part of the solution, a data set containing videos and still images used to train the designed neural networks was created. The results of this approach are evaluated in conclusion.
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