Quality-Constant Per-Shot Encoding by Two-Pass Learning-based Rate Factor Prediction. (arXiv:2208.10739v1 [cs.CV])

Providing quality-constant streams can simultaneously guarantee user
experience and prevent wasting bit-rate. In this paper, we propose a novel deep
learning based two-pass encoder parameter prediction framework to decide rate
factor (RF), with which encoder can output streams with constant quality. For
each one-shot segment in a video, the proposed method firstly extracts spatial,
temporal and pre-coding features by an ultra fast pre-process. Based on these
features, a RF parameter is predicted by a deep neural network. Video encoder
uses …

arxiv cv encoding learning prediction quality rate