Back close
Admissions

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

Integrated Treatment Protocol for Management of Duchenne Muscular Dystrophy
Integrated Treatment Protocol for Management of Duchenne Muscular Dystrophy
Lemongrass Essentials: Optimization of Solar-Powered Distillation Unit and Marketing Plan for Lemongrass Oil
Lemongrass Essentials: Optimization of Solar-Powered Distillation Unit and Marketing Plan for Lemongrass Oil
Cloud based Adaptive eLearning Network
Cloud based Adaptive eLearning Network
Reconstructing Local Field Potential from realistic computational models for spontaneous and evoked stimuli
Reconstructing Local Field Potential from realistic computational models for spontaneous and evoked stimuli
Application of Bacteriophages as a Strategy to Combat Antimicrobial Resistance in Gram-Negative Pathogens
Application of Bacteriophages as a Strategy to Combat Antimicrobial Resistance in Gram-Negative Pathogens
Admissions Apply Now