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

Brain Network Analysis from fMRI Images
Brain Network Analysis from fMRI Images
Characterization of Surface and Groundwater During a Natural Disaster
Characterization of Surface and Groundwater During a Natural Disaster
Novel Targeted Chitosan based Therapeutic Polymeric Nanomedicines for Lung Cancer Applications
Novel Targeted Chitosan based Therapeutic Polymeric Nanomedicines for Lung Cancer Applications
A study of Biological Activity of Extracted Microbial Biosurfactant
A study of Biological Activity of Extracted Microbial Biosurfactant
Smart Services and Optimization for Microgrids (SSOM)
Smart Services and Optimization for Microgrids (SSOM)
Admissions Apply Now