DeepField-SR–Deep Learning based Video Super Resolution Accelerator SOLUTION BRIEF

2022-01-13
●INTRODUCTION: DeepField-SR is a fixed functional hardware accelerator leveraging Xilinx AlveoCards to offer the highest computational efficiency for Video Super Resolution. Based on proprietary Neural Network trained with real world video data from the internet and fusing spatio-temporal information in multiple frames, it produces superior high resolution video quality.
●Key Features:
■A fixed functional hardware accelerator offering high throughput
■Scalable architecture to support multiple FPGA cards
■Low upscaling latency
■Deep Neural Network suitable for resource limited FPGA
■Deep Neural Network trained with real world video data
■Designed with High Level Synthesis
■Easy to update and upgrade per market demands

Xilinx

DeepField-SR

More

Part#

Video Super Resolution Acceleratorfixed functional hardware accelerator

More

More

Solutions

More

More

Please see the document for details

More

More

English Chinese Chinese and English Japanese

2021/1/26

284 KB

- The full preview is over,the data is 2 pages -
  • +1 Like
  • Add to Favorites

Recommend

All reproduced articles on this site are for the purpose of conveying more information and clearly indicate the source. If media or individuals who do not want to be reproduced can contact us, which will be deleted.

Contact Us

Email: