Graph Learning Based Head Movement Prediction for Interactive 360 Video Streaming

Ultra-high definition (UHD) 360 videos encoded in fine quality are typically too large to stream in its entirety over bandwidth (BW)-constrained networks. One popular approach is to interactively extract and send a spatial sub-region corresponding to a viewer's current field-of-view (FoV) in a...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on image processing 2021, Vol.30, p.4622-4636
Hauptverfasser:	Zhang, Xue, Cheung, Gene, Zhao, Yao, Le Callet, Patrick, Lin, Chunyu, Tan, Jack Z. G.
Format:	Artikel
Sprache:	eng
Schlagworte:	360 video streaming Biological models (mathematics) Computer Science Data models directed graph learning Directed graphs Field of view Graph theory Head movement head movement prediction Helmet mounted displays High definition Human motion Image Processing Information sources Iterative methods Learning Markov chains Optimization Predictive models Servers Streaming media Video transmission
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!