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

eMAP – eModule Application for Panchakarma
eMAP – eModule Application for Panchakarma
ATrans-Care
ATrans-Care
An Innovative Green Technology for Treating Municipal and Industrial Wastewater Entering Rivers and Streams
An Innovative Green Technology for Treating Municipal and Industrial Wastewater Entering Rivers and Streams
Modelling and Analysis of Connectivity Reliability in 6G IoT Networks using k –out of- n Replenishment Policies 
Modelling and Analysis of Connectivity Reliability in 6G IoT Networks using k –out of- n Replenishment Policies 
Technology Adaptation Project – Shaastra Map for Ayurveda: Enabling Conceptual Exploration of Ashtanga Hridayam
Technology Adaptation Project – Shaastra Map for Ayurveda: Enabling Conceptual Exploration of Ashtanga Hridayam
Admissions Apply Now