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

GURU an MPEG-4 Based Distance Learning Environment for Users with Disabilities
GURU an MPEG-4 Based Distance Learning Environment for Users with Disabilities
Flow Patterns of Oil-Water Immiscible Liquid Mixtures in Small and Microchannels
Flow Patterns of Oil-Water Immiscible Liquid Mixtures in Small and Microchannels
An Intelligent Controller for Power Flow Management in a Smart Microgrid System with Power Quality Enhancement
An Intelligent Controller for Power Flow Management in a Smart Microgrid System with Power Quality Enhancement
Amrita Lions Beat Diabetes
Amrita Lions Beat Diabetes
An Archeotechnological innovation orchestrating a sustainable architecture towards functional food contact metallic surfaces for the indigent and ethno-classical art theatre percussion instruments 
An Archeotechnological innovation orchestrating a sustainable architecture towards functional food contact metallic surfaces for the indigent and ethno-classical art theatre percussion instruments 
Admissions Apply Now