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

High Temperature Thermoplastic Hybrid Composite for Higher Tensile Strength and Impact Resistance
High Temperature Thermoplastic Hybrid Composite for Higher Tensile Strength and Impact Resistance
Hardware Implementation of Antenna Beamforming
Hardware Implementation of Antenna Beamforming
Smart Geophone IoT System for Landslide Detection
Smart Geophone IoT System for Landslide Detection
Predictive Threat Evaluation in Complex IT Systems
Predictive Threat Evaluation in Complex IT Systems
Evaluating Coastal Salinity Intrusion from Groundwater over-extraction, Coastal Wetland Dynamics and Sea Level Rise using Remote Sensing
Evaluating Coastal Salinity Intrusion from Groundwater over-extraction, Coastal Wetland Dynamics and Sea Level Rise using Remote Sensing
Admissions Apply Now