京都大学 / 0048 / 新制・課程博士 / 博士(情報学) / 甲第19111号 / 情博第557号 / 新制||情||98(附属図書館) / 32062 / 京都大学大学院情報学研究科知能情報学専攻 / (主査)教授 松山 隆司, 教授 美濃 導彦, 准教授 梁 雪峰 / 学位規則第4条第1項該当 / Doctor of Informatics / Kyoto University / DFAM

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Background: Automobile lighting is a major function on any automobile to illuminate the road to let drivers and commuters see the road ahead. It also serves a variety of other purposes. However, it is now becoming a luxury design feature, with each automobile manufacturer having their own unique lamps. Every car manufacturer now has its own characteristic lights that can be recognized from a considerable distance, and they strive for homogeneity. As a result, it’s critical to check and assess a lamp's homogeneity during the product development phase to identify any potential flaws. Objectives: This research presents a HDRImage encoding for visualizing and verifying luminance data in image format. For an intuitive and subjective evaluation also the colour is used. Secondly, using the mean filter technique to validate an internal Volvo Cars lit surface homogeneity requirement and automate the time-consuming process. Lastly, using the ISOcontour approach to propose and implement a simple yet effective verification method for distributed light homogeneity. Methods: The research methods used in this study are literature review and experiment. To discover further about HDRImage encoding using luminance data, as well as existing light measurement and evaluation approaches, a literature review is conducted. The appropriate approaches for this study are then combined and implemented to produce a verification method that uses the homogeneity requirement to automatically verify lit surfaces. This thesis also presented ISOcontour lines as a way for evaluating distributed light. Results: The findings of this thesis demonstrate that it is possible to develop a method for verifying and evaluating luminance data obtained from simulation software and photometers without relying on any licensed software for light evaluation. The methods are, for visualisation using HDRImage encoding, a method to evaluate light such as false colour, ISOcontour lines for distributed light verification, and an automatic homogeneity verification approach for lit surface to make the verification of illumination process efficient. Conclusions:  Experiment provided a means of visualizing luminance data of both virtual and physical prototypes, verifying distributed light, and automatically verifying it surface homogeneity, while literature review assisted in gathering information in certain fields to better comprehend light evaluation methods.

Remote desktop solutions have widespread adoption across the world, allowing people to connect to a computer remotely from anywhere in the world. One widely used solution is TigerVNC which uses the RFB protocol for communication between a client and server. TigerVNC supports several encoding types, which use different techniques to compress image data. Currently, there is a lack of a performance evaluation frameworks for VNC software that makes it possible to measure the performance of not only different encoders, but also the performance of the system that chooses which encoding to use for different parts of the image. This thesis presents a framework that was developed to evaluate the performance of TigerVNC server in real-world scenarios. The framework includes a tool that records an X session losslessly and a benchmarking suite that processes a recorded session, providing data regarding execution time and compression ratio. Benchmarks were run using several encoding settings with different recorded sessions representing real-world scenarios. Results show that TigerVNC server has a good tradeoff between compression ratio and execution time. The work done in this thesis lays a foundation on which future research can be done, leading to improvements in the TigerVNC project.

Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2011. / This thesis describes the design and implementation of a video compression development board as a standalone embedded system. The board can capture images, encode them and stream out a video to a destination over a wireless link. This project was done to allow users to test and develop video compression encoders that are designed for UAV applications. The board was designed to use an ADSP-BF533 Blackfin DSP from Analog Devices with the purpose of encoding images, which were captured by a camera module and then streamed out a video through a WiFi module. Moreover, an FPGA that has an interface to a logic analyzer, the DSP, the camera and the WiFi module, was added to accommodate other future uses, and to allow for the debugging of the board. The board was tested by loading a H.264 BP/MP encoder from Analog Devices to the DSP, where the DSP was integrated with the camera and the WiFi module. The test was successful and the board was able to encode a 2 MegaPixel picture at about 2 frames per second with a data rate of 186 Kbps. However, as the frame rate was only 2 frames per second, the video was somewhat jerky. It was found that the encoding time is a system limitation and that it has to be improved in order to increase the frame rate. A proposed solution involves dividing the captured picture into smaller segments and encoding each segment in parallel. Thereafter, the segments can be packed and streamed out. Further performance issues about the proposed structure are presented in the thesis.