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

IoT Lab for Remote E-Learning
IoT Lab for Remote E-Learning
Reconstructing Local Field Potential from realistic computational models for spontaneous and evoked stimuli
Reconstructing Local Field Potential from realistic computational models for spontaneous and evoked stimuli
Process Monitoring & Control of Ultra Precision Machining of Ti6 Al4 V Alloys
Process Monitoring & Control of Ultra Precision Machining of Ti6 Al4 V Alloys
An exploratory clinical study to determine the utility of heart rate variability analysis in the assessment of doṣa imbalance
An exploratory clinical study to determine the utility of heart rate variability analysis in the assessment of doṣa imbalance
Material Composition and Fabrication of Plastic Bricks
Material Composition and Fabrication of Plastic Bricks
Admissions Apply Now