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HDR Video Plugin for Adobe Premier
Svatý, Lukáš ; Musil, Martin (referee) ; Zemčík, Pavel (advisor)
Cílem práce je vytvoření podpory pro editovaní videa v HDR formátu. Pro editaci videa je zvolen program Adobe Premiere Pro a na dosažení požadovaného výsledku je vytvořen plugin do zmiňovaného softwaru, který poskytuje požadovanou funkcionalitu. V práci jsou vysvětleny principy vytváření, zobrazení a ukládáni obsahu z rozšíreným dynamickým rozsahem. Zároveň jsou vysvětleny principy vytváření pluginů pro Adobe Premiere Pro za pomoci SDK verze CS6. V praktické části této práce jsou vysvětleny detaily implementace, problémy, které byly řešené, a popis samotného pluginu. Návrh pluginů je vytvořen tak, aby byla možná další práce na tomto softwaru, přidaní další funkcionality a pro umožnění využití tohoto díla na rozvoji obsahu s rozšíreným dynamickým rozsahem.
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Video Summary
Štafl, Roman ; Herout, Adam (referee) ; Beran, Vítězslav (advisor)
Dlouhé videozáznamy z bezpečnostních kamer je často třeba pečlivě zkontrolovat. To je však pro člověka nepraktický úkol, neboť by to nebylo časově efektivní. Lidé jsou náchylní ke značnému množství potenciálních chyb kvůli omezené pozornosti a schopnosti odhalit každou událost. Aplikace umožňující vyhledávání změn ve videu by ušetřila hodiny intenzivní práce, což bude hlavním předmětem tohoto díla.
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Separation of dynamic and static structures in a videosequence
Serediuk, Vadym ; Pavlík, Jan (referee) ; Rajmic, Pavel (advisor)
The aim of this bachelor thesis is the description and implementation of methods for the separation of low-rank and sparse structures in image sequence, mainly focusing on methods based on convex optimization. The beginning of the work is devoted to the description of basic mathematical concepts and definitions used in the work. The next comes the description of general case of background-foreground separation in video, followed by a brief overview of existing approaches based on various mathematical models. Then, methods based on matrix decomposition are described in more detail, a convex minimization task for background separation is defined. This is followed by a practical part, where the used methods are first described and then implemented in MATLAB scripts. At the end, the analysis and comparison of the results (obtained both using own scripts and external library) is performed.
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Face parameterization using videosequence
Lieskovský, Pavol ; Mekyska, Jiří (referee) ; Rajnoha, Martin (advisor)
This work deals with the problem of face parameterization from the video of a speaking person and estimating Parkinson’s disease and the progress of its symptoms based on face parameters. It describes the syntax and function of the program that was created within this work and solves the problem of face parameterization. The program formats the processed data into a time series of parameters in JSON format. From these data, a dataset was created, based on which artificial intelligence models were trained to predict Parkinson’s disease and the progress of its symptoms. The process of model training and their results are documented within this work.
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Computer vision and hand gestures detection and fingers tracking
Bravenec, Tomáš ; Wyrzykowski, Roman (referee) ; Frýza, Tomáš (advisor)
Diplomová práce je zaměřena na detekci a rozpoznání gest rukou a prstů ve statických obrazech i video sekvencích. Práce obsahuje shrnutí několika různých přístupů k samotné detekci a také jejich výhody i nevýhody. V práci je též obsažena realizace multiplatformní aplikace napsané v Pythonu s použitím knihoven OpenCV a PyTorch, která dokáže zobrazit vybraný obraz nebo přehrát video se zvýrazněním rozpoznaných gest.
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Video Anonymization
Mokrý, Martin ; Bartl, Vojtěch (referee) ; Herout, Adam (advisor)
The goal of this thesis is to design and create an automatic system for video anonymization. This system makes use of various object detectors on an image to ensure functionality, as well as active tracking of objects detected in this manner. Adjustments are later applied to these detected objects which ensure sufficient level of anonymization. The main asset of this system is speeding up the anonymization process of videos that can be published after.
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Moving objects monitoring system
Orolin, Jakub ; Šteffan, Pavel (referee) ; Háze, Jiří (advisor)
The presented thesis deals with the design of a system capable of tracking the moving objects. The output of the thesis is the prototype layout of the device. Facility will be physically placed between the camera and the tripod in the dissertation and tested in real conditions. The role of this system is to automatically rolling the camera up the selected moving object.
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Video Content Summarization
Jaška, Roman ; Kolář, Martin (referee) ; Beran, Vítězslav (advisor)
The amount surveillance footage recorded each day is too large for human operators to analyze. A video summary system to process and refine this video data would prove beneficial in many instances. This work defines the problem in terms of its inputs, outputs and sub-problems, identifies suitable techniques and existing works as well as describes a design of such system. The system is implemented, and the results are examined.
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Apparent Personality Analysis from Video
Čigáš, Patrik ; Sochor, Jakub (referee) ; Hradiš, Michal (advisor)
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.
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Prednasky.com - system for automatic lecture processing
Černý, Pavel ; Beran, Vítězslav (referee) ; Szőke, Igor (advisor)
The objective of this thesis is to create system for automated processing of the video lectures. There are two main parts in this thesis. Bash Framework, which is created from several separated atomic tasks. At the beginning we have a simple video prepared for processing. When it is processed, there are added intro part, subtitles and synchronized presentation. Second part of this thesis is a web application. It is designated for playing, editing and creating videos. Further it provides process management of created framework and whole system administration.
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