FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning

FAUST: Fast Per-Scene Encoding Using Entropy-Based Scene Detection and Machine Learning

HTTP adaptive video streaming is a widespread and sought-after technology on the Internet that allows clients to dynamically switch between different stream qualities presented in the bitrate ladder to optimize overall received video quality. Currently, there exist several approaches of different co...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Anatoliy Zabrovskiy, Prateek Agrawal, Christian Timmerer, Radu Prodan
Format: article
Langue:EN
Publié: FRUCT 2021
Sujets:
per-title encoding
per-shot encoding
scene detection
video entropy
neural networks
video encoding
video transcoding
http adaptive streaming
mpeg-dash
Telecommunication
TK5101-6720
Accès en ligne:https://doaj.org/article/2c4ff9718dd84364864e573ee8909ef5
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Internet

https://doaj.org/article/2c4ff9718dd84364864e573ee8909ef5

Documents similaires