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

Ribotyping- Ribotyping of Bacterial Endophytes
Ribotyping- Ribotyping of Bacterial Endophytes
Disease Networks: From Cells to Systems
Disease Networks: From Cells to Systems
Studies on Biofilm Inhibition and Antibacterial Properties of Selected Plant Extracts Against S.mutans, a Dental Plaque Pathogen
Studies on Biofilm Inhibition and Antibacterial Properties of Selected Plant Extracts Against S.mutans, a Dental Plaque Pathogen
Project Detection And Segmentation Of Repetitive Patterns In Images
Project Detection And Segmentation Of Repetitive Patterns In Images
Economic Growth, Social Development, and Sustainable Housing
Economic Growth, Social Development, and Sustainable Housing
Admissions Apply Now