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

DNA ORIGAMI – Folding of the Vector (pCDH–CMV–MCS–EF1–puro) into a Predefined Shape Using 18, 20mer Staples
DNA ORIGAMI – Folding of the Vector (pCDH–CMV–MCS–EF1–puro) into a Predefined Shape Using 18, 20mer Staples
Flood Evac (Vulnerability of Transportation Structures, Warning and Evacuation in Case of Major Inland Flooding)
Flood Evac (Vulnerability of Transportation Structures, Warning and Evacuation in Case of Major Inland Flooding)
School Programs, 2nd Foundation Program
School Programs, 2nd Foundation Program
Enabling energy efficient community through Context Aware IoT framework and Sustainable Software (E-CAISS)
Enabling energy efficient community through Context Aware IoT framework and Sustainable Software (E-CAISS)
Secured Data Acquisition and Transmission System for Data Center (SDATS)
Secured Data Acquisition and Transmission System for Data Center (SDATS)
Admissions Apply Now