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 Secure and Authenticated Encryption Scheme for Lightweight Applications
Development of Secure and Authenticated Encryption Scheme for Lightweight Applications
Establishment of Community Covid Resilience Resource Centers (CRRC)
Establishment of Community Covid Resilience Resource Centers (CRRC)
Intelligent Tutoring and Adaptive Assessment
Intelligent Tutoring and Adaptive Assessment
Multi-Hazard Risk Assessment through Hydrological Modeling in North Sikkim District, Sikkim
Multi-Hazard Risk Assessment through Hydrological Modeling in North Sikkim District, Sikkim
Schiff’s Base Derivative Of Chitosan: A Potential Matrix For Metalloprotein Enrichment
Schiff’s Base Derivative Of Chitosan: A Potential Matrix For Metalloprotein Enrichment
Admissions Apply Now