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

Development of a Triple Level Distributed Control for Demand Response Management, Intelligent Scheduling of Loads and Optimized Choices in Electricity Bidding for a Smart Microgrid
Development of a Triple Level Distributed Control for Demand Response Management, Intelligent Scheduling of Loads and Optimized Choices in Electricity Bidding for a Smart Microgrid
Use of viral agents, microbial fuel cell and effec tive recycling strategy to improve the economics of human waste disposal
Use of viral agents, microbial fuel cell and effec tive recycling strategy to improve the economics of human waste disposal
Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
Analysis of Seepage Induced Soil Mass Movements and Stabilization using sand Drains
RF Power Power Amplifiers, Microwave Circuits and Digital Power Distortion 
RF Power Power Amplifiers, Microwave Circuits and Digital Power Distortion 
Wearable Assistive Device for the Blind and Visually Impaired
Wearable Assistive Device for the Blind and Visually Impaired
Admissions Apply Now