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A Study on Software Tools for Detecting Frame Errors and Boundary Distortions in Video Streams

Year: 2024

Type: article

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.

Source: CyberLeninK (CyberLeninka)

DOI: 10.5281/zenodo.14023651

Authors: Puziy, Anastasia, Arabboev, Mukhriddin, Begmatov, Shohruh

Language: English

Topic: Image and Video Quality Assessment

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6892929237

FWCI: 0.141

Cites:

Cited by: 1

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