Skip to main navigation Skip to search Skip to main content

Deep Learning Based Data Compression - RMGS

  • WANG, Shiqi (Principal Investigator / Project Coordinator)

Project: Research

Project Details

Description

This project aims to develop efficient compression techniques based on deep learning, such that the redundancies within the data could be efficiently removed in a data-driven way. The advanced generative technologies are further studied to improve the quality of the decoded data. The decoding complexity is further optimized and evaluated in a series of platforms including thin clients.
Project number9229100
Grant typeDON_RMG
StatusActive
Effective start/end date1/07/22 → …

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.