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

Abuse of Oral Contraceptives
Abuse of Oral Contraceptives
Elucidating the Molecular Mechanisms of Anacardic Acid and Biacacetin Mediated Regulation of Matrix Metalloproteinases in Cancer
Elucidating the Molecular Mechanisms of Anacardic Acid and Biacacetin Mediated Regulation of Matrix Metalloproteinases in Cancer
Antimicrobial Activity of Selected Plant Extracts on Multi Drug Resistant Staphylococcus Aureus
Antimicrobial Activity of Selected Plant Extracts on Multi Drug Resistant Staphylococcus Aureus
Development of Particle Reinforced Aluminium Metal Matrix Composites for Slurry Erosive Wear Resistance- Naval Applications
Development of Particle Reinforced Aluminium Metal Matrix Composites for Slurry Erosive Wear Resistance- Naval Applications
AI and Context
AI and Context
Admissions Apply Now