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

Computational Neuroscience and Cognitive Modeling
Computational Neuroscience and Cognitive Modeling
Smart EV Sharing infrastructure with Solar Powered EV Battery Swapping/Charging Stations
Smart EV Sharing infrastructure with Solar Powered EV Battery Swapping/Charging Stations
Water and Energy Efficient Reliable Irrigation System (WatEr-ERIS): Solar energy and Cloud-based decision support systems for automated irrigation system
Water and Energy Efficient Reliable Irrigation System (WatEr-ERIS): Solar energy and Cloud-based decision support systems for automated irrigation system
PANCHENDRIYA: A Multi-sensing framework through wireless sensor networks for advanced border surveillance and human intruder detection
PANCHENDRIYA: A Multi-sensing framework through wireless sensor networks for advanced border surveillance and human intruder detection
Neurology: Epilepsy, Spatial Events and Models
Neurology: Epilepsy, Spatial Events and Models
Admissions Apply Now