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Video compression dataset and benchmark of learning-based video-quality metrics. (arXiv:2211.12109v1 [cs.CV])
cs.CV updates on arXiv.org arxiv.org
Video-quality measurement is a critical task in video processing. Nowadays,
many implementations of new encoding standards - such as AV1, VVC, and LCEVC -
use deep-learning-based decoding algorithms with perceptual metrics that serve
as optimization objectives. But investigations of the performance of modern
video- and image-quality metrics commonly employ videos compressed using older
standards, such as AVC. In this paper, we present a new benchmark for
video-quality metrics that evaluates video compression. It is based on a new
dataset consisting …
arxiv benchmark compression dataset metrics quality video video compression