An enhanced algorithm for improving real-time video transmission for tele-training education
Pooja Maharjan1, Abeer Alsadoon1,2,3,4, P W C Prasad1,2,3,5
1School of Computing Mathematics and Engineering, Charles Sturt University (CSU), Sydney, Australia.
Multimedia Tools and Applications
|February 7, 2022
Summary
This study introduces a new algorithm to enhance real-time surgical tele-training video quality. The EVQDMBRM algorithm minimizes distortion and improves transmission reliability for better surgical education.
Area of Science:
- Medical Education Technology
- Computer Science
- Network Engineering
Background:
- Effective tele-training in surgery requires high-quality, reliable real-time video transmission.
- Existing systems face challenges with distortion, low transmission rates, and reliability.
Purpose of the Study:
- To propose a novel system and algorithm (EVQDMBRM) to enhance video quality for real-time surgical tele-training.
- To minimize video distortion, ensure efficient flow rate allocation, and maximize transmission reliability.
Main Methods:
- Development of the Enhancing Video Quality, Distorting Minimization, Bandwidth efficiency, and Reliability Maximization (EVQDMBRM) algorithm.
- Dynamic allocation of flow rate at the video source.
- Maximization of video frame transmission reliability.
Main Results:
- The EVQDMBRM algorithm significantly reduced total video frame distortion.
- Improved Peak Signal to Noise Ratio (PSNR) to an average of 51.13 dB from 47.28 dB.
- Reduced processing time by 58.2 ms and end-to-end delay by 114.57 ms compared to traditional methods.
Conclusions:
- The proposed EVQDMBRM algorithm effectively enhances surgical video transmission quality.
- The system minimizes packet loss and optimizes bandwidth utilization for reliable tele-training.
- This advancement supports improved surgical education through better tele-training platforms.
