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

Novel Target-Specific Multiplexed Nano- Phytomedicines for Cancer Therapy
Novel Target-Specific Multiplexed Nano- Phytomedicines for Cancer Therapy
Systems Biology of Neurological Disorders
Systems Biology of Neurological Disorders
Statistical Approaches to Generating Concept Graphs
Statistical Approaches to Generating Concept Graphs
Particulate Polymer Composites for Space Applications: Modeling and Simulation of Physical, Mechanical and Rheological Properties
Particulate Polymer Composites for Space Applications: Modeling and Simulation of Physical, Mechanical and Rheological Properties
The Role of Rural Institutions in Enabling Adaptation to Climate Change in the Agricultural Sector across Different Ecosystems in India
The Role of Rural Institutions in Enabling Adaptation to Climate Change in the Agricultural Sector across Different Ecosystems in India
Admissions Apply Now