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

An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products
An Edge-based Cyber-Physical System for Smart Polyhouse Solar Drying of Agricultural Food Products
Design and Analysis of Cryptographically Secure Power Generators
Design and Analysis of Cryptographically Secure Power Generators
Electrospun TiO2 Nanofibers as a matrix to enhance the drug loading
Electrospun TiO2 Nanofibers as a matrix to enhance the drug loading
Preparation of Carboxymethyl Chitin and Chitosan Derivatives
Preparation of Carboxymethyl Chitin and Chitosan Derivatives
Method to Control Ultraviolet Radiation in Welding Processes
Method to Control Ultraviolet Radiation in Welding Processes
Admissions Apply Now