Back close

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

Control point selection and matching for registration of CT/MRI images
Control point selection and matching for registration of CT/MRI images
Multi-Hazard Disaster Risk Reduction Solutions for The State of Odisha
Multi-Hazard Disaster Risk Reduction Solutions for The State of Odisha
Development of Non-enzymatic Electrochemical Glucose Biosensors and Glucometer
Development of Non-enzymatic Electrochemical Glucose Biosensors and Glucometer
Design and Development of a Combustion Based Micro-Power Generator
Design and Development of a Combustion Based Micro-Power Generator
Process Monitoring & Control of Ultra Precision Machining of Ti6 Al4 V Alloys
Process Monitoring & Control of Ultra Precision Machining of Ti6 Al4 V Alloys
Admissions Apply Now