Main goal of this thesis is implementation of a simple video editing application for Android platform. In the theoretical part are described present-day possibilities of video editing on computers and mentioned also existing applications for Android. Then the platform itself and its features are described with focus to development of applications, especially native ones. The FFmpeg library for multimedia processing is described next. It was used in implementation of application. The next part of thesis considers with implemented application and describes its design, structure, user interface and process of implementation. Then the results of video processing performance tests and their evaluation are presented. In the end is the application compared with similar existing applications.

This document describes the work for a master’s thesis in Media Technology and Engineering at Link ̈oping University. The work consisted of building a system for defining and creating vignettes for horse racing shows. The vignettes are built up by a montage of video clips which are changed with the seasons, time of day and betting product. The system randomizes the video files and the audio files depending on the season, time of day and current betting product when creating the vignettes. Each vignette will therefore be unique. The work also consisted of implementing the vignette graphics in the software Ventuz.

This master's thesis describes design and development of an application for estimation of vehicle speed from both recorded video file and from camera stream.  It explains the procecess of a camera calibration, vehicle detection and tracking and describes the robot operating system as a target platform. The application uses library OpenCV for most of tasks, to access video application uses a FFmpeg library. Results can be printed to the terminal window, they can also be logged to a file or published in ROS. Application is written in C++ language, some parts in Python.

This thesis introduces the reader in detail with the problem of audio / video streaming overtheInternet.IntroducestechnologiesMySQL,PHP,JavaScriptandffmpegfurthermore. There is little research which examines presented similar solutions. Creating video library program shows the complexity of the problem and its possible solution. The work also finding how is compression difficult for the server.

This thesis addresses video streaming from smartphone to smartwatch. The main goal of the thesis is to find a way how to handle the limited hardware features of the watch and make video streaming as fast and smooth as possible. A part of this work is focused on implementation of client-server application, which streams video from Android device to Tizen smartwatch over Bluetooth channel.

Den enorma ökningen av multicasttjänster har visat begränsningarna hos traditionella nätverkshanteringsverktyg vid multicastkvalitetsövervakning. Det behövs någon annan form av övervakningsteknik som inte är en hårdvaruinriktad lösning så som ökad länkgenomströmmning, buffertlängd och kapacitet för att förbättra kundupplevelsen. I rapporten undersöks användningen av biblioteken FFmpeg, och OpenCV samt no-reference image quality assessemnt algoritmen BRISQUE för att förbättra tjänstekvaliteten och kundupplevelsen. Genom att upptäcka kvalitetsbrister hos bildrutor samt bitfel i videoströmmen kan QoS och QoE förbättras. Uppgiftens ändamål är att i realtid detektera avvikelser i bildkvalitet och bitfel i en multicastvideoström för att sedan notifiera tjänsteleverantören med hjälp av SNMP traps. Undersökningen visar positiva resultat med en hybridlösning med användning av både BRISQUE och FFmpeg då båda ensamma inte är tillräckligt anpassade för multimediaövervakning. FFmpeg har möjligheten att detektera avkodningsfel som oftast beror på allvarliga bitfel, och BRISQUE algoritmen utvecklades för att analysera bilder och bestämma bildkvaliteten. Enligt testresultaten kan BRISQUE användas för multicastvideoanalysering eftersom att den subjektiva bildkvaliteten kan bestämmas med god pålitlighet. Kombinationen av dessa metoder har visat bra resultat men behöver undersökas mer för användning av multicastövervakning. / The enormous increase in multicast services has shown the limitations of traditional network management tools in multicast quality monitoring. There is a need for new monitoring technologies that are not hardware-based solutions such as increased link throughput, buffer length and capacity to enhance the quality of experience. This paper examines the use of FFmpeg, and OpenCV as well the no-reference image quality assessment algorithm BRISQUE to improve the quality of service as well as the quality of experience. By detecting image quality deficiencies as well as bit errors in the video stream, the QoS and QoE can be improved. The purpose of this project was to develop a monitoring system that has the ability to detect fluctuations in image quality and bit errors in a multicast video stream in real time and then notify the service provider using SNMP traps. The tests performed in this paper shows positive results when using the hybrid solution proposed in this paper, both BRISQUE and FFmpeg alone are not sufficiently adapted for this purpose. FFmpeg has the ability to detect decoding errors that usually occurs due to serious bit errors and the BRISQUE algorithm was developed to analyse images and determine the subjective image quality. According to the test results BRISQUE can be used for multicast video analysis because the subjective image quality can be determined with good reliability. The combination of these methods has shown good results but needs to be investigated and developed further.

This thesis deals with processing of video content on Android platform. Libraries for video encoding and decoding usable on this platform are described first. One of these libraries - FFmpeg - is used as core to design and implement middleware video-processing library. This library will provide simple but e fective API for multimedia Java applications.

This diploma thesis deals with design of embedded computer vision system and transfer of existing computer vision application for 3D object detection from Windows OS to designed embedded system with Linux OS. Thesis focuses on design of communication interface for system control and camera video transfer through local network with video compression. Then, detection algorithm is enhanced by transferring computationally expensive functions to GPU using CUDA technology. Finally, a user application with graphical interface is designed for system control on Windows platform.

Industrial cameras are often used in conjunction with the application of machine learning. However, these cameras produce large bitrate and it needs to be reduced when processing video further away from the camera. This thesis tries to solve the problem by design of system suitable for grabbing video from industrial cameras, its compression and distribution to machine learning application. The thesis describes technologies applicable to the development of the multimedia application. For example frameworks FFmpeg and GStreamer were used implementation of the system.

This diploma thesis focus on transmiting multimedia over computer network. There are detailed informations about protocols RTP and RTPC in a first part because a transmition over a network is realized by using these protocols. Some basic multimedia terms, FFmpeg codecs and SDL library are described in next chapters. A multimedia player using FFmpeg and SDL is implemented in a second part of thesis. The player is console application and it has basic user interface. The player reproduces video and audio from a given file. RTP communication is described in next chapters of the second part. RTP server and client are implemented there too. They are console aplications and they use data coded by Theora or Vorbis. There are summarized results in a conclusion.