Quality-Constant Per-Shot Encoding by Two-Pass Learning-based Rate Factor Prediction

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....

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Veröffentlicht in:	arXiv.org 2022-08
Hauptverfasser:	Cai, Chunlei, Wang, Yi, Li, Xiaobo, Ye, Tianxiao
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Coders Deep learning Feature extraction Machine learning Parameters Predictions Segments Streams User experience Video compression
Online-Zugang:	Volltext
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