Real-Time Rate Distortion Optimized and Adaptive Low Complexity Algorithms for Video Streaming

被引：0
|
作者：
Abdelhadi, Ahmed [1 ]
Gerstlauer, Andreas [2 ]
Vishwanath, Sriram [2 ]
机构：
[1] Univ Houston, Houston, TX 77204 USA
[2] Univ Texas Austin, Austin, TX 78712 USA
来源：
2019 13TH ANNUAL IEEE INTERNATIONAL SYSTEMS CONFERENCE (SYSCON) | 2019年
关键词：
Multimedia Networks; Rate-Distortion Optimization; Cyberphysical Systems; RESOURCE-ALLOCATION; FLOW-CONTROL; NETWORKS; SERVICES; QUALITY; ACCESS; WIMAX; WIFI;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Mobile cyberphysical systems provide a platform where communication, computing and control are integrated together. With the increase in the usage of Internet of Things (IoT) devices, it is important to understand the complex interaction between these three subsystems. This paper aims to address this challenge in the context of video delivery over an autonomous aerial vehicle (AAV) network. This network suffers from limited bandwidth and delay constraints of real-time video streaming under time-varying wireless channel conditions. Additionally, it experiences limitations in power consumption and computational complexity due to the embedded system platform running the video transmission protocols. Hence, we design a low complexity real-time video transmission protocols that arc suitable for such platforms. hi this paper, we provide a comparison between different transmission protocols we developed with respect to temporal and spatial video distortion metrics.
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页数：8
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