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. In an era where content is consumed in massive amounts in a matter of seconds, no original feed is usually available. With a live video as input, the algorithm presented in this book takes continuous screenshots, which are fed sequentially into the algorithm. Blocking, ringing, blurring, and noising are examples of artifacts against which the blind/reference-less image spatial quality evaluator (BRISQUE) is applied. This chapter therefore elaborates on how JavaScript is used to build a robust, reliable, and real-time VQA framework.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Video Quality Assessment Application Development with JavaScript


    Contributors:


    Publication date :

    2024-06-20


    Size :

    122 pages




    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    NTMA Application with JavaScript

    Fowdur, Tulsi Pawan / Babooram, Lavesh | Springer Verlag | 2024


    Wszechstronny JavaScript

    Scott, Adam / Safari, an O’Reilly Media Company. | TIBKAT | 2024


    JavaScript auf Embedded-Geraten

    British Library Online Contents | 2013