JVAP: A Joint Video Acceleration Processing Architecture for Online Edge Systems
Author:
Affiliation:
1. Institute of Computing Technology, Chinese Academy of Sciences,Beijing,China,100190
2. Peng Cheng Laboratory,Shenzhen,China,518055
Funder
National Key R&D Program of China
National Natural Science Foundation of China
Beijing Natural Science Foundation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10391856/10393862/10394353.pdf?arnumber=10394353
Reference23 articles.
1. Crowd V-IoE: Visual Internet of Everything Architecture in AI-Driven Fog Computing
2. GPU-Based Hierarchical Motion Estimation for High Efficiency Video Coding
3. Fast motion estimation for HEVC on graphics processing unit (GPU)
4. VR-DANN: Real-Time Video Recognition via Decoder-Assisted Neural Network Acceleration
5. Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks
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