Abstract
An unquenchable end-user thirst for enhanced video quality results in ever-scaling video frame size and frame rate requirements. As we move from UHDTV1 to UHDTV2 and 120 frames/sec to 300 frames/sec, inevitably the computational complexity of video processing systems required to consume, process, and deliver video content increases. The need for solutions to support combinations of frame sizes and rates, as well as future increments, emphasizes the need for system scalability. The computational complexity and scalability requirements pose exciting challenges for field-programmable gate array (FPGA) implementation of video processing pipelines. This paper presents implementation techniques and methodologies to overcome these challenges. We specifically concentrate on architectures whereby the input per-pixel video sample rate exceeds the system clock rate. Novel results include classifying pixel processing orders and presenting a component-based design approach for future-proofing video processing solutions against an ever-scaling computational complexity requirement. Resource and memory bandwidth requirements of such systems are also analyzed and trends are presented.
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