FPGA Based Video Transcoding System with 2K-4K Super-Resolution Conversion

Yuzhuo Wei, Li Chen, Rong Xie, Li Song, Xiaoyun Zhang, Zhiyong Gao

Abstract: We present a FPGA-based system supporting video stream transcoding with 2k full high-definition (FHD) video to 4k ultra high-definition (UHD) video super- resolution(SR) conversion. Our system focuses on building a functional pipeline with convolutional neural network (CNN) accelerator and real-time video codec unit for converting H.264 video stream to H.265/HEVC video stream. The overall video processing system can be used as an important plug-in module in the video streaming network to improve the video stream service quality.