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

Yuzhuo Wei, Li Chen, Rong Xie, Li Song, Xiaoyun Zhang, Zhiyong Gao
December 2019
Cite DOI

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.

Type
Conference paper
Publication
2019 IEEE Visual Communications and Image Processing (VCIP)
"Convolution" "Streaming Media" "Acceleration" "Real-Time Systems" "Convolutional Neural Networks" "Field Programmable Gate Arrays" "Video Codecs"
Li Song
Li Song
Professor, IEEE Senior Member

Professor, Doctoral Supervisor, the Deputy Director of the Institute of Image Communication and Network Engineering of Shanghai Jiao Tong University, the Double-Appointed Professor of the Institute of Artificial Intelligence and the Collaborative Innovation Center of Future Media Network, the Deputy Secretary-General of the China Video User Experience Alliance and head of the standards group.