Issues in Vision Modeling for Perceptual Video Quality Assessment

Issues in Vision Modeling for Perceptual Video Quality Assessment (1999)

by Stefan Winkler

Citations:

47 - 10 self

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Datum	Value	Source
TITLE	Issues in Vision Modeling for Perceptual Video Quality Assessment	user correction - Legacy Corrections
AUTHOR NAME	Stefan Winkler	user correction
ABSTRACT	Lossy compression algorithms used in digital video systems produce artifacts whose visibility strongly depends on the actual image content. Simple error measures such as RMSE or PSNR, albeit popular, ignore this important fact and are only a mediocre predictor of perceived quality. Many applications require more reliable assessment methods. This paper discusses issues in vision modeling for perceptual video quality assessment (PVQA). Its purpose is not to describe a particular model or system, but rather to summarize and to provide pointers to up-to-date knowledge of important characteristics of the human visual system, to explain how these characteristics may be incorporated in vision models for PVQA, to give a brief overview of the state-of-the-art and current efforts in this field, and to outline directions for future research.	user correction
YEAR	1999	user correction - Legacy Corrections
CITATIONS	142 found	ParsCit 1.0