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

Assessment of Waste Management Practices – Co-Design Phase
Assessment of Waste Management Practices – Co-Design Phase
Non Invasive Microwave Based Sensors
Non Invasive Microwave Based Sensors
Adult stem cell Regeneration
Adult stem cell Regeneration
Hybrid Composite for Aviation, Space and Defence Applications
Hybrid Composite for Aviation, Space and Defence Applications
Design, Construction and Operation of a Prototypes of Phototrophic Microbial Fuel Cells
Design, Construction and Operation of a Prototypes of Phototrophic Microbial Fuel Cells
Admissions Apply Now