A STUDY ON SOFTWARE TOOLS FOR DETECTING FRAME ERRORS AND BOUNDARY DISTORTIONS IN VIDEO STREAMS

Abstract

Video quality is crucial in ensuring the successful delivery and consumption of digital content across various platforms, such as streaming services, broadcasting, and surveillance systems. However, visual distortions and frame errors can significantly degrade the quality of video streams, affecting both the user experience and automated processing systems. This paper reviews various software tools for detecting and analyzing frame errors and boundary distortions in video streams.