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GUI to FFmpeg for Building a Filter Graph
Klimaj, Daniel ; Klíma, Ondřej (referee) ; Bařina, David (advisor)
This work deals with implementation of applications with a graphical user interface for creating filter graph in FFmpeg. The work includes a design of a solution which contains a design of a graphical user interface and object model representation of the filter graph, as well as a description of the implementation zhotovenje on the basis of these designs. Part of this work is a comparison of the achieved result with existing solutions.
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IP Flow Filter
Štoffa, Imrich ; Krobot, Pavel (referee) ; Wrona, Jan (advisor)
This thesis is focused on unification of filtering languages used by IP flow collecting program and library for their analysis. At the moment these implementations use different filtering modules and file formats. Because of this, inconsistencies in results arise and as a response to this, creation of one filtering module was proposed as part of effort to better integrate collection and analysis of IP flows using these programs. The one filtering module aims to provide one implementation and support for popular filtering language for use in the programs. Thesis contains theoretical introduction to flow monitoring in networks, describes algorithms useful for evaluation of conditions on flow records and packets. The core of authors work is design and implementation of the filtering module and its wrappers for the collector and analysis library. Results of performance tests and evaluation of features can be found in the thesis's conclusion.
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Postprocessing of GPS Logs
Jaška, Roman ; Pavelková, Alena (referee) ; Polok, Lukáš (advisor)
This thesis aims to analyse common errors in recorded GPS activities, identify algorithms suitable for correction of these problems and design and subsequently implement an Android application. The first chapter contains an introduction to the problem, demonstration of a few affected examples and explains the motivation behind the choice of this subject for my thesis. Second chapter decomposes the established problem. I specifically elaborate on the source of the errors, the format of input data, existing solutions, mathematical methods suitable for this problem, available APIs and reasons behind the selection of the final platform. Chapter number three describes the actual solution of the problem employed in the final application. The requirements for the final application are laid out as well as the specific details of the functionality, such as the usage of Kalman filter, individual APIs, libraries as well as the design of the user interface. The penultimate chapter reveals selected parts of the implementation, such as the Kalman filtering itself or the problem of manual track correction. This chapter also contains description of design changes executed during the implementation. The final chapter reviews the achieved results of Kalman filtering and snapping of points to roads using Google Maps Roads API. Ultimately, I elaborate on possibilities of continued development of the application.
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Very Low Bit-Rate Speech Coding Based on Neural Networks
Jochman, Stanislav ; Malenovský, Vladimír (referee) ; Černocký, Jan (advisor)
Vrámci tejto práce sme skúmali možnosti zlepšenia kvality zvuku produkovaným pomocou neurónovej siete LPCNet. Analyzovali sme vplyv použitia dátových setov zameraných na cieľový jazyk a ich vplyv na kvalitu výsledného zvuku. Pre meranie kvality kódovania reči sme využili hodnotiaci systém WARP-Q. Cieľom našej práce bolo navrhnúť vylepšenie trénovacieho dátového setu a použitie postfilterov pre zlepšenie kvality zvuku. Naše výsledky ukazujú merateľné zlepšenia s využitím malého slovenského dátového setu. Rovnako sme zaznamenali, že využitie dolnopriepustného filteru a filtra zlepšujúceho formanty zlepšilo kvalitu výsledného zvuku.
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Scene Depth Estimation Based on Odometry and Image Data
Zborovský, Peter ; Obdržálek, David (advisor) ; Vodrážka, Jindřich (referee)
In this work, we propose a depth estimation system based on image sequence and odometry information. The key idea is that depth estimation is decoupled from pose estimation. Such approach results in multipurpose system applicable on different robot platforms and for different depth estimation related problems. Our implementation uses various filtration techniques, operates real-time and provides appropriate results. Although the system was aimed at and tested on drone platform, it can be well used on any other type of autonomous vehicle that provides odometry information and video output.
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Scene Depth Estimation Based on Odometry and Image Data
Zborovský, Peter ; Obdržálek, David (advisor) ; Vodrážka, Jindřich (referee)
In this work, we propose a depth estimation system based on image sequence and odometry information. The key idea is that depth estimation is decoupled from pose estimation. Such approach results in multipurpose system applicable on different robot platforms and for different depth estimation related problems. Our implementation uses various filtration techniques, operates real-time and provides appropriate results. Although the system was aimed at and tested on drone platform, it can be well used on any other type of autonomous vehicle that provides odometry information and video output.
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IP Flow Filter
Štoffa, Imrich ; Krobot, Pavel (referee) ; Wrona, Jan (advisor)
This thesis is focused on unification of filtering languages used by IP flow collecting program and library for their analysis. At the moment these implementations use different filtering modules and file formats. Because of this, inconsistencies in results arise and as a response to this, creation of one filtering module was proposed as part of effort to better integrate collection and analysis of IP flows using these programs. The one filtering module aims to provide one implementation and support for popular filtering language for use in the programs. Thesis contains theoretical introduction to flow monitoring in networks, describes algorithms useful for evaluation of conditions on flow records and packets. The core of authors work is design and implementation of the filtering module and its wrappers for the collector and analysis library. Results of performance tests and evaluation of features can be found in the thesis's conclusion.
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Postprocessing of GPS Logs
Jaška, Roman ; Pavelková, Alena (referee) ; Polok, Lukáš (advisor)
This thesis aims to analyse common errors in recorded GPS activities, identify algorithms suitable for correction of these problems and design and subsequently implement an Android application. The first chapter contains an introduction to the problem, demonstration of a few affected examples and explains the motivation behind the choice of this subject for my thesis. Second chapter decomposes the established problem. I specifically elaborate on the source of the errors, the format of input data, existing solutions, mathematical methods suitable for this problem, available APIs and reasons behind the selection of the final platform. Chapter number three describes the actual solution of the problem employed in the final application. The requirements for the final application are laid out as well as the specific details of the functionality, such as the usage of Kalman filter, individual APIs, libraries as well as the design of the user interface. The penultimate chapter reveals selected parts of the implementation, such as the Kalman filtering itself or the problem of manual track correction. This chapter also contains description of design changes executed during the implementation. The final chapter reviews the achieved results of Kalman filtering and snapping of points to roads using Google Maps Roads API. Ultimately, I elaborate on possibilities of continued development of the application.
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GUI to FFmpeg for Building a Filter Graph
Klimaj, Daniel ; Klíma, Ondřej (referee) ; Bařina, David (advisor)
This work deals with implementation of applications with a graphical user interface for creating filter graph in FFmpeg. The work includes a design of a solution which contains a design of a graphical user interface and object model representation of the filter graph, as well as a description of the implementation zhotovenje on the basis of these designs. Part of this work is a comparison of the achieved result with existing solutions.
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