© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2024
T. P. Fowdur, L. BabooramMachine Learning For Network Traffic and Video Quality Analysishttps://doi.org/10.1007/979-8-8688-0354-3_6

6. Video Quality Assessment Application Development with JavaScript

Tulsi Pawan Fowdur1   and Lavesh Babooram2
(1)
Department of Electrical and Electronic Engineering, University of Mauritius, Reduit, Mauritius
(2)
Reduit, Mauritius
 

This chapter continues the practical journey by presenting the application development aspect of the video quality assessment (VQA) model with JavaScript. To obtain a real-time mean opinion score (MOS) for video streaming quality, a no-reference (NR) image quality assessment (IQA) metric is employed. ...

Get Machine Learning For Network Traffic and Video Quality Analysis: Develop and Deploy Applications Using JavaScript and Node.js now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.