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

Climate Change Impact and Self Help Adaptation Strategies in the Sunderban Region of West Bengal
Climate Change Impact and Self Help Adaptation Strategies in the Sunderban Region of West Bengal
Investigation on Carbon Nano Fiber Reinforced Polyether Ether Ketone/Polyether Imides as Polymer Composite Container for Long Time Nuclear Waste Disposal
Investigation on Carbon Nano Fiber Reinforced Polyether Ether Ketone/Polyether Imides as Polymer Composite Container for Long Time Nuclear Waste Disposal
Segmentation and tracking of ovarian tumours from ovarian CT images 
Segmentation and tracking of ovarian tumours from ovarian CT images 
Wearable Wireless Device to Monitor of Vital Parameters of Farmers
Wearable Wireless Device to Monitor of Vital Parameters of Farmers
Isolation of Carbohydrate Binding Proteins (lectins) from Natural Sources
Isolation of Carbohydrate Binding Proteins (lectins) from Natural Sources
Admissions Apply Now