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

Malware detection using FPGA, Sandboxing and Machine Learning
Malware detection using FPGA, Sandboxing and Machine Learning
Driving Assistance System Based Ongaze Tracking and Road Scene Events Detection
Driving Assistance System Based Ongaze Tracking and Road Scene Events Detection
Structural Modifications of Antimicrobial Chitosan
Structural Modifications of Antimicrobial Chitosan
Predictive Modeling of Complex IT systems
Predictive Modeling of Complex IT systems
Studies on Biofilm Inhibition and Antibacterial Properties of Selected Plant Extracts Against S.mutans, a Dental Plaque Pathogen
Studies on Biofilm Inhibition and Antibacterial Properties of Selected Plant Extracts Against S.mutans, a Dental Plaque Pathogen
Admissions Apply Now