Algorithm/Architecture Co-Exploration of Visual Computing: Overview and Future Perspectives

Concurrently exploring both algorithmic and architectural optimizations is a new design paradigm. This survey paper addresses the latest research and future perspectives on the simultaneous development of video coding, processing, and computing algorithms with emerging platforms that have multiple cores and reconfigurable architecture. As the algorithms in forthcoming visual systems become increasingly complex, many applications must have different profiles with different levels of performance. Hence, with expectations that the visual experience in the future will become continuously better, it is critical that advanced platforms provide higher performance, better flexibility, and lower power consumption. To achieve these goals, algorithm and architecture co-design is significant for characterizing the algorithmic complexity used to optimize targeted architecture. This paper shows that seamless weaving of the development of previously autonomous visual computing algorithms and multicore or reconfigurable architectures will unavoidably become the leading trend in the future of video technology

Adaptive deinterlacing of video sequences using motion data

In this work an efficient motion adaptive deinterlacing method with considerable improvement in picture quality is proposed. A temporal deinterlacing method has a high performance in static images while a spatial method has a better performance in dynamic parts. In the proposed deinterlacing method, a motion adaptive interpolator combines the results of a spatial method and a temporal method based on motion activity level of video sequence. A high performance and low complexity algorithm for motion detection is introduced. This algorithm uses five consecutive interlaced video fields for motion detection. It is able to capture a wide range of motions from slow to fast. The algorithm benefits from a hierarchal structure. It starts with detecting motion in large partitions of a given field. Depending on the detected motion activity level for that partition, the motion detection algorithm might recursively be applied to sub-blocks of the original partition. Two different low pass filters are used during the motion detection to increase the algorithm accuracy. The result of motion detection is then used in the proposed motion adaptive interpolator. The performance of the proposed deinterlacing algorithm is compared to previous methods in the literature. Experimenting with several standard video sequences, the method proposed in this work shows excellent results for motion detection and deinterlacing performance

Deinterlacing und zeitliche Skalierung im Umfeld der UHD Konvertierung

Diese Arbeit untersucht die zeitliche Interpolation von Videosignalen. Durch die Einführung des Ultra High Definition Television Standard wird eine höhere Bildwiederholrate benötigz um Judder-Artefakte zu vermeiden. In diesem Zusammenhang kommt der zeitlichen Interpolation von nicht nativem UHD Material eine besondere Bedeutung zu. Neben der räumlichen Interpolation ist diese essenziell. In dieser Arbeit wird eine Übersicht über die Anforderungen an UHD Video gegeben. Bewegungskompensierende Verfahren für das Deinterlacing und Upscaling in Verbindung mit einer Phasenkorrelation werden behandelt. Ein MATLAB-Programm wird entwickelt mit dem ein Upscaling und Deinterlacing von HD Material durchgeführt werden kann