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An enhanced algorithm for improving real-time video transmission for tele-training education
Tele-training in surgical education has not been effectively implemented. There is a stringent need for a high transmission rate, reliability, throughput, and reduced distortion for high-quality video transmission in the real-time network. This work aims to propose a system that improves video quali...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809212/ https://www.ncbi.nlm.nih.gov/pubmed/35125927 http://dx.doi.org/10.1007/s11042-022-12045-5 |
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author | Maharjan, Pooja Alsadoon, Abeer Prasad, P. W. C. Al-Khalil, Ahmad B. Jerew, Oday D. Alsadoon, Ghossoon Chapagain, Binod |
author_facet | Maharjan, Pooja Alsadoon, Abeer Prasad, P. W. C. Al-Khalil, Ahmad B. Jerew, Oday D. Alsadoon, Ghossoon Chapagain, Binod |
author_sort | Maharjan, Pooja |
collection | PubMed |
description | Tele-training in surgical education has not been effectively implemented. There is a stringent need for a high transmission rate, reliability, throughput, and reduced distortion for high-quality video transmission in the real-time network. This work aims to propose a system that improves video quality during real-time surgical tele-training. The proposed approach aims to minimise the video frame’s total distortion, ensuring better flow rate allocation and enhancing the video frames’ reliability. The proposed system consists of a proposed algorithm for Enhancing Video Quality, Distorting Minimization, Bandwidth efficiency, and Reliability Maximization called (EVQDMBRM) algorithm. The proposed algorithm reduces the video frame’s total distortion. In addition, it enhances the video quality in a real-time network by dynamically allocating the flow rate at the video source and maximizing the transmission reliability of the video frames. The result shows that the proposed EVQDMBRM algorithm improves the video quality with the minimized total distortion. Therefore, it improves the Peak Signal to Noise Ratio (PSNR) average by 51.13 dB against 47.28 dB in the existing systems. Furthermore, it reduces the video frames processing time average by 58.2 milliseconds (ms) against 76.1, and the end-to-end delay average by 114.57 ms against 133.58 ms comparing to the traditional methods. The proposed system concentrates on minimizing video distortion and improving the surgical video transmission quality by using an EVQDMBRM algorithm. It provides the mechanism to allocate the video rate at the source dynamically. Besides that, it minimizes the packet loss ratio and probing status, which estimates the available bandwidth. |
format | Online Article Text |
id | pubmed-8809212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-88092122022-02-02 An enhanced algorithm for improving real-time video transmission for tele-training education Maharjan, Pooja Alsadoon, Abeer Prasad, P. W. C. Al-Khalil, Ahmad B. Jerew, Oday D. Alsadoon, Ghossoon Chapagain, Binod Multimed Tools Appl Article Tele-training in surgical education has not been effectively implemented. There is a stringent need for a high transmission rate, reliability, throughput, and reduced distortion for high-quality video transmission in the real-time network. This work aims to propose a system that improves video quality during real-time surgical tele-training. The proposed approach aims to minimise the video frame’s total distortion, ensuring better flow rate allocation and enhancing the video frames’ reliability. The proposed system consists of a proposed algorithm for Enhancing Video Quality, Distorting Minimization, Bandwidth efficiency, and Reliability Maximization called (EVQDMBRM) algorithm. The proposed algorithm reduces the video frame’s total distortion. In addition, it enhances the video quality in a real-time network by dynamically allocating the flow rate at the video source and maximizing the transmission reliability of the video frames. The result shows that the proposed EVQDMBRM algorithm improves the video quality with the minimized total distortion. Therefore, it improves the Peak Signal to Noise Ratio (PSNR) average by 51.13 dB against 47.28 dB in the existing systems. Furthermore, it reduces the video frames processing time average by 58.2 milliseconds (ms) against 76.1, and the end-to-end delay average by 114.57 ms against 133.58 ms comparing to the traditional methods. The proposed system concentrates on minimizing video distortion and improving the surgical video transmission quality by using an EVQDMBRM algorithm. It provides the mechanism to allocate the video rate at the source dynamically. Besides that, it minimizes the packet loss ratio and probing status, which estimates the available bandwidth. Springer US 2022-02-02 2022 /pmc/articles/PMC8809212/ /pubmed/35125927 http://dx.doi.org/10.1007/s11042-022-12045-5 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Maharjan, Pooja Alsadoon, Abeer Prasad, P. W. C. Al-Khalil, Ahmad B. Jerew, Oday D. Alsadoon, Ghossoon Chapagain, Binod An enhanced algorithm for improving real-time video transmission for tele-training education |
title | An enhanced algorithm for improving real-time video transmission for tele-training education |
title_full | An enhanced algorithm for improving real-time video transmission for tele-training education |
title_fullStr | An enhanced algorithm for improving real-time video transmission for tele-training education |
title_full_unstemmed | An enhanced algorithm for improving real-time video transmission for tele-training education |
title_short | An enhanced algorithm for improving real-time video transmission for tele-training education |
title_sort | enhanced algorithm for improving real-time video transmission for tele-training education |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809212/ https://www.ncbi.nlm.nih.gov/pubmed/35125927 http://dx.doi.org/10.1007/s11042-022-12045-5 |
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