An intrusion oriented heuristic for efficient resource management in end-to-end wireless video surveillance systems

Usman, Muhammad Arslan, Usman, Muhammad Rehan and Shin, Soo Young (2018) An intrusion oriented heuristic for efficient resource management in end-to-end wireless video surveillance systems. In: 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC); 12-15 Jan 2018, Las Vegas, U.S..

Abstract

This paper presents an intrusion oriented heuristic for wireless video surveillance systems that jointly controls the frame rate (FR), spatial or video resolution (VR), and compression level of videos prior to transmission leading to minimum bandwidth and storage consumption. In the proposed model, video streams are transmitted in high quality, with high FR and VR, only when an intrusion is detected, hence saving substantial amount of bandwidth and storage for durations when no intrusion is detected. Results for the proposed model in terms of bandwidth and storage efficiency, using H. 264 and H. 265 video encoders, are also shown.

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