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

Electrodeposition of Lead-Free Solder Materials for Microelectronic Packaging
Electrodeposition of Lead-Free Solder Materials for Microelectronic Packaging
Indexing and Searching E-Learning Content
Indexing and Searching E-Learning Content
Identification of Novel Cell Surface Molecules of Therapeutic Significance in Central Nervous System Leukemia
Identification of Novel Cell Surface Molecules of Therapeutic Significance in Central Nervous System Leukemia
Synthesis of Lube/ fuel additive from CNSL
Synthesis of Lube/ fuel additive from CNSL
Agriculture Named Entity Recognition using Weighted Distributional Semantic Model
Agriculture Named Entity Recognition using Weighted Distributional Semantic Model
Admissions Apply Now