Efficient video streaming of 360° cameras in Unmanned Aerial Vehicles: an analysis of real video sources

2018 7th European Workshop on Visual Information Processing (EUVIP) Pub Date : 2018-11-01 DOI:10.1109/EUVIP.2018.8611639

S. Colonnese, F. Cuomo, Ludovico Ferranti, T. Melodia

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引用次数: 1

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.

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无人机中360°摄像机的高效视频流:对真实视频源的分析

无人机获取的视频流数据是一项创新服务，将被娱乐、监控和灾难恢复等多种应用所利用。360°摄像机提供前所未有的视觉信息，使服务达到全新的沉浸式体验水平。然而，360°视频源还没有完全表征，这尤其适用于无人机安装的360°视频源。本文介绍了与几个360°摄像机序列相关的视频交通的全面分析，这些序列由行人手持摄像机以及无人机安装的摄像机在各种环境和照明条件下获得。对视频帧和视频块进行了细粒度的速率失真分析，从而使本研究与基于http的视频流服务相关。该分析是通过公开提供360°视频交通轨迹数据集来完成的，该数据集可用于提供360°视频流服务的无人机的数值模拟。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2018 7th European Workshop on Visual Information Processing (EUVIP)

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