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- W2909694707 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." @default.
- W2909694707 created "2019-01-25" @default.
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- W2909694707 date "2018-11-01" @default.
- W2909694707 modified "2023-09-27" @default.
- W2909694707 title "Efficient video streaming of 360° cameras in Unmanned Aerial Vehicles: an analysis of real video sources" @default.
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- W2909694707 doi "https://doi.org/10.1109/euvip.2018.8611639" @default.
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