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

Label – Free Quantitative Proteomics Analysis to Study the Effect of Triclosan on Delta-Haemolysin: A Haemolytic Factor of Methicillin – Resistant Staphylococcus Aureus
Label – Free Quantitative Proteomics Analysis to Study the Effect of Triclosan on Delta-Haemolysin: A Haemolytic Factor of Methicillin – Resistant Staphylococcus Aureus
Computational Neuroscience and Cognitive Modeling
Computational Neuroscience and Cognitive Modeling
Green Campuses
Green Campuses
Measurement of Burning Velocities of Hydrocarbon Hydrogen Mixtures and Application to Premixed Laminar Burner Design
Measurement of Burning Velocities of Hydrocarbon Hydrogen Mixtures and Application to Premixed Laminar Burner Design
Amrita Spandanam ECG
Amrita Spandanam ECG
Admissions Apply Now