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

Effect of Environmental Factors on Klebsiella Biofilm Formation
Effect of Environmental Factors on Klebsiella Biofilm Formation
Cyber-Attack Resilient Operation and Control Schemes for Smart Power Distribution System
Cyber-Attack Resilient Operation and Control Schemes for Smart Power Distribution System
Screening for Autism
Screening for Autism
An automated system to mitigate loss of life at unmanned level crossings
An automated system to mitigate loss of life at unmanned level crossings
Statistical Approaches to Generating Concept Graphs
Statistical Approaches to Generating Concept Graphs
Admissions Apply Now