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

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.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-01
DOI
https://doi.org/10.5281/zenodo.14023652
Citations
1
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
0.25
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

1 citations
Zenodo (CERN European Organization for Nuclear Research)
Image and Video Quality Assessment
0.25
article

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

article en
1 citations

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 41%
Image and Video Quality Assessment
0.25
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A STUDY ON SOFTWARE TOOLS FOR DETECTING FRAME ERRORS AND BOUNDARY DISTORTIONS IN VIDEO STREAMS · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS