Autor:	Charles Li, Darrell L. Young
Rok vydání:	2013
Předmět:	Artifact (error) Motion compensation Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Video quality Video tracking Video denoising Computer vision Artificial intelligence Noise (video) business Subjective video quality
Zdroj:	SPIE Proceedings.
ISSN:	0277-786X
DOI:	10.1117/12.2018217
Popis:	Measured indicators such as resolution, blur, noise and artifact estimates are used to predict video interpretability. The indicators show the effect of compression, lost packets, and enhancements. The indicators and metadata-derived resolution can also be used to select appropriate algorithms for further enhancement or exploitation.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::672cffbfb541d63aa7aa36796eef2789 https://doi.org/10.1117/12.2018217 Zobrazit plný text záznamu