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

Influence of Boron Carbide Addition on Neutron Shielding Ability of Cement Mortar Mix
Influence of Boron Carbide Addition on Neutron Shielding Ability of Cement Mortar Mix
Structural Modifications of Antimicrobial Chitosan
Structural Modifications of Antimicrobial Chitosan
Development and Implementation of a Robust Pre-Processing Technique for Detection Improvement in Passive SONAR
Development and Implementation of a Robust Pre-Processing Technique for Detection Improvement in Passive SONAR
Machine Learning based Hand Orthotic Device
Machine Learning based Hand Orthotic Device
Connected Autonomous Vehicles
Connected Autonomous Vehicles
Admissions Apply Now