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

Strengthening Multi-Stakeholders to Address Gender Based Violence (GBV): A Community-Led Initiative in Kolar District, Karnataka
Strengthening Multi-Stakeholders to Address Gender Based Violence (GBV): A Community-Led Initiative in Kolar District, Karnataka
Testing of a Water Hydration-Dehydration Unit
Testing of a Water Hydration-Dehydration Unit
Globalisation, Climate Change and Urban Public Finance
Globalisation, Climate Change and Urban Public Finance
3D Map Generation for Visual Wayfinding
3D Map Generation for Visual Wayfinding
Bone Mineral Density Analysis System (BDAS)
Bone Mineral Density Analysis System (BDAS)
Admissions Apply Now