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

A Case Study on Health and Sanitation Challenges
A Case Study on Health and Sanitation Challenges
TRACK-LLM: Transparency, Risk Assessment, Context & Knowledge for Large Language Models
TRACK-LLM: Transparency, Risk Assessment, Context & Knowledge for Large Language Models
Coastal reservoir concept to impound Netravati River flood waters: A sustainable strategy for water resource development for Mangalore and Bangalore
Coastal reservoir concept to impound Netravati River flood waters: A sustainable strategy for water resource development for Mangalore and Bangalore
Use of soil isolate as an exoelectricigen in a dual chambered Microbial Fuel Cell (MFC)
Use of soil isolate as an exoelectricigen in a dual chambered Microbial Fuel Cell (MFC)
Autonomous Visual and Wireless Sensor Network based Smart Evacuation System
Autonomous Visual and Wireless Sensor Network based Smart Evacuation System
Admissions Apply Now