CNN-based driving of block partitioning for intra slices encoding

This paper provides a technical overview of a deep-learning-based encoder method aiming at optimizing next generation hybrid video encoders for driving the block partitioning in intra slices. An encoding approach based on Convolutional Neural Networks is explored to partly substitute classical heuri...

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Veröffentlicht in:	arXiv.org 2020-11
Hauptverfasser:	Galpin, Franck, Racapé, Fabien, Jaiswal, Sunil, Bordes, Philippe, Fabrice Le Léannec, Edouard François
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Automatic control Coders Computer Science - Multimedia Partitioning Topology Video compression
Online-Zugang:	Volltext
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