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Implementing a Video Quality Metric in the H.264/AVC Decoder
Grúbel, Michal ; Číka, Petr (referee) ; Slanina, Martin (advisor)
In this diploma thesis an algorithm for the evaluation of picture quality of H.264-coded video sequences is introduced and applied. As a measure of picture quality objective metric the peak signal to noise ratio (PSNR) is used. While the computation of the PSNR usually requires a reference signal and compares it to the distorted video sequence, this algorithm is able to evaluate PSNR following the coded transform coefficients. Thus, no reference signal is needed.
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Anomaly detection in video sequences on devices with low computing power
Bílek, František ; Ježek, Štěpán (referee) ; Sikora, Pavel (advisor)
The bachelor’s thesis focuses on the problem of anomaly detection in video sequences on devices with low computational power. Traditional and current approaches to anomaly detection are described from the perspective of machine learning and neural networks. The goal of the thesis is to implement an efficient and reliable algorithm capable of detecting anomalies in real-time. Emphasis is placed on minimizing computational requirements and optimizing memory usage to achieve efficiency on devices with limited computational capacities.
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Clean photo out of corrupted videosequence
Berky, Martin ; Záviška, Pavel (referee) ; Rajmic, Pavel (advisor)
This diploma thesis deals with separation of moving objects from static unchanging background in video sequence. Thesis contains description of common method of separation and approach based sparse signal representation. In the practical part of thesis, there were created video sequences, which are used to verify designed algorithm implemented in Matlab interface, disegned to obtain separated background from damaged video frames.
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Clean photo out of corrupted videosequence
Berky, Martin ; Záviška, Pavel (referee) ; Rajmic, Pavel (advisor)
This diploma thesis deals with separation of moving objects from static unchanging background in video sequence. In this thesis are described common method of separation and access using sparse signal representation. In the practical part of thesis was created video sequences, on which is verified the designed algorithm, implemented in Matlab, for obtaining background from damaged video frames and comparing this methods.
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Video Editing Tool
Krivda, Marian ; Herout, Adam (referee) ; Sumec, Stanislav (advisor)
This work consist of the design and implementation of the video editing core. It contains three general phases. The first of them is inspection of video editing tools. The video editing core design is second phase. Last phase is implementation.
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Fire Detection in Video Sequences
Vampola, Radek ; Vaďura, Jiří (referee) ; Španěl, Michal (advisor)
This bachelor´s thesis deals with fire detection in video recording. The aim is to design and create a fire detector to detect incipient fire. Fire detection takes advantage of some properties of fire, which can be recorded on a camera, such as colour of fire, flickering of flames and pulsating of intensity of light emitted by fire. When fire is detected the detector highlights a fire area and a warning message is displayed in standard output.
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Moving Persons Surveillance System
Hochman, Zdeněk ; Beran, Vítězslav (referee) ; Španěl, Michal (advisor)
This thesis is devoted to detect moving person in video sequence. It is dealed with detect motion primarily and it is determinated by place of motion. The thesis introduces relatively new method of detection motion Local Binary Patterns, which allow quick and exact detect of motion. Inhere of this thesis is also application for detect person. The thesis publishes tests of this application detailed and it mentiones positives and negatives of different settings application which reader can finally use at work with application.
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Motion Detection in Video Sequences
Chadim, Petr ; Štancl, Vít (referee) ; Švub, Miroslav (advisor)
This thesis deal with a problem of motion detection in video sequence. The basic principle of method Bacground subtraction and the algorithm for searching differences between frames were described in details. Great attention is made for actualization of referential frame. Part of this thesis is a localization of motion object. The result of this thesis is an application for testing of motion detector in different environments.
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Fire Detection in Images and Video
Poledník, Tomáš ; Juránková, Markéta (referee) ; Přibyl, Bronislav (advisor)
This bachelor's thesis deals with fire detection in image and video. Attention is paid to the existing methods and known approaches to fire detection. Based on the analysis of the described methods, a fire detector, monitoring the attributes of its colour and motion, is designed, implemented and tested. The implemented detector achieves true positive detection rate of up to 90%.
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Video Editor
Kopřiva, Vít ; Láník, Aleš (referee) ; Juránek, Roman (advisor)
This work deals with an implementation of a simple software system for video editing. The practical part of this work examines the essential functions of the software: video sequence import, sequence cutting, filtering, timeline placement and video sequence export. This software is the command line interface application, primarily designed for batch editing of video files into the one single video sequence. Theoretical part of this thesis describes technological development of a video editing as well as the current software means.
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