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|Title:||Real-time wireless multisensory smart surveillance with 3D-HEVC streams for internet-of-things (IoT)|
Psannis, Kostas E.
|Subjects:||FRASCATI::Engineering and technology|
|Source:||The Journal of Supercomputing|
|Abstract:||This paper presents the design of a novel, real-time, wireless, multisensory, smart surveillance system with 3D-HEVC features. The proposed high-level system architecture of the surveillance system is analyzed. The advantages of HEVC encoding are presented. Methods for synchronization between multiple streams are presented. Available wireless standards are presented and compared. A network-adaptive transmission protocol for a reliable, real-time, multisensory surveillance system is proposed. Adaptive packet frame grouping (APFG) and adaptive quantization are deployed to maximize the quality-of-experience (QoE). Measurements of the proposed protocol have been shown to provide superior results compared to existing transport protocols.|
|Appears in Collections:||Department of Applied Informatics |
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|revisedReal-Time Wireless Multisensory Smart Surveillance with 3D-HEVC Streams for Internet-of-Things (IoT).pdf||revisedReal-Time Wireless Multisensory Smart Surveillance with 3D-HEVC Streams for Internet-of-Things (IoT).pdf||1,22 MB||Adobe PDF||View/Open|
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