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

Cerebellum Inspired Approach for Pattern Classification in Robots
Cerebellum Inspired Approach for Pattern Classification in Robots
Computational and Experimental Investigations on a combined vibration absorber energy harvester system.
Computational and Experimental Investigations on a combined vibration absorber energy harvester system.
Automatic Diagnostic Tool for Detection of Regional Wall Motion Abnormality from Echocardiogram
Automatic Diagnostic Tool for Detection of Regional Wall Motion Abnormality from Echocardiogram
Water and Energy Saving Reliable Irrigation System (WatEr-ERIS): Solar Energy and Cloud-based Decision Support System for Automated Irrigation System (CoPI)
Water and Energy Saving Reliable Irrigation System (WatEr-ERIS): Solar Energy and Cloud-based Decision Support System for Automated Irrigation System (CoPI)
Fulbright Specialist Scholar Program
Fulbright Specialist Scholar Program
Admissions Apply Now