Back close
Admissions

Improving the video encoding technique in text embedded videos using visual attention models

Start Date: December, 2022

Project Incharge: Dr. R. Aarthi, Dr. S. Padmavathy

School: School of Computing

Funded by: Multicoreware

Improving the video encoding technique in text embedded videos using visual attention models

The project titled “Improving the video encoding technique in text embedded videos using visual attention models” is a ongoing funded project for Multicoreware. Principal Investigator and Co-Principal Investigator for the project are Dr. R. Aarthi, Dr. S. Padmavathy , Amrita School of Computing, Coimbatore. The project grant is Rs. 8,00,000 and duration is one year.

Related Projects

Advanced Integrated Wireless Sensor Networks for Real Time Monitoring and Detection of Disasters
Advanced Integrated Wireless Sensor Networks for Real Time Monitoring and Detection of Disasters
Proteasome inhibitors from natural products
Proteasome inhibitors from natural products
Metformin Encapsulated Biodegradable Chitosan Nanoparticles: A Novel Strategy for Pancreatic Cancer Therapy
Metformin Encapsulated Biodegradable Chitosan Nanoparticles: A Novel Strategy for Pancreatic Cancer Therapy
Non-Electric Cooling Solutions for Tribal Villages
Non-Electric Cooling Solutions for Tribal Villages
Automating Liver Transplant Outcomes using Artificial Intelligence
Automating Liver Transplant Outcomes using Artificial Intelligence
Admissions Apply Now