Paper Info
Title
Efficient video streaming of 360° cameras in Unmanned Aerial Vehicles: an analysis of real video sources
Abstract
Video streaming data acquired by Unmanned Aerial Vehicles is an innovative service that will be leveraged by several applications ranging from entertainment and surveillance to disaster recovery. 360° cameras provide unprecedented visual information and enable services to a novel level of immersive experience. However, 360° video sources are not still fully characterized, and this holds especially true for drone mounted 360° video sources. This paper presents a thorough analysis of the video traffic associated to several 360° camera sequences, acquired by a pedestrian held camera as well as by a drone mounted camera in various environments and lighting conditions. A fine-grained rate distortion analysis is presented for both video frames and video chunks, thus making this study relevant for HTTP-based video streaming services. The analysis is completed by making publicly available a dataset of 360° video traffic traces that can be used for numerical simulations of Unmanned Aerial Vehicles providing 360° video streaming services.
Year
DOI
Venue
2018
10.1109/EUVIP.2018.8611639
2018 7th European Workshop on Visual Information Processing (EUVIP)
Keywords
Field
DocType
camera,360° video streaming services,360° video traffic traces,HTTP-based video streaming services,video chunks,video frames,fine-grained rate distortion analysis,360° camera sequences,360° video sources,unmanned aerial vehicles
Rate distortion,Pedestrian,Entertainment,Computer science,Video streaming,Real-time computing,Ranging,Drone,Encoding (memory),Disaster recovery
Conference
ISSN
ISBN
Citations 
2164-974X
978-1-5386-6898-6
0
PageRank 
References 
Authors
0.34
5
4
Name
Order
Citations
PageRank
Stefania Colonnese113726.43
Francesca Cuomo267454.36
Ludovico Ferranti300.34
Tommaso Melodia44398290.59