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

Muhammad Arslan Usman; Muhammad Rehan Usman; Soo Young Shin

doi:10.1109/CCNC.2018.8319177

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

Muhammad Arslan Usman, Muhammad Rehan Usman, Soo Young Shin

Kumoh National Institute of Technology

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
DOIs	https://doi.org/10.1109/CCNC.2018.8319177
Publication status	Published - 13 Jan 2018
Event	2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC) - Las Vegas, U.S. Duration: 12 Jan 2018 → 15 Jan 2018

Conference

Conference	2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)
Period	12/01/18 → 15/01/18

Bibliographical note

Organising Body: IEEE Communications Society

Keywords

Computer science and informatics

Access to Document

10.1109/CCNC.2018.8319177

https://ieeexplore.ieee.org/abstract/document/8319177

Cite this

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

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.",

keywords = "Computer science and informatics",

author = "Usman, \{Muhammad Arslan\} and Usman, \{Muhammad Rehan\} and Shin, \{Soo Young\}",

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AU - Usman, Muhammad Rehan

AU - Shin, Soo Young

N1 - Organising Body: IEEE Communications Society

PY - 2018/1/13

Y1 - 2018/1/13

N2 - 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.

AB - 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.

KW - Computer science and informatics

U2 - 10.1109/CCNC.2018.8319177

DO - 10.1109/CCNC.2018.8319177

M3 - Paper

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Y2 - 12 January 2018 through 15 January 2018

ER -

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

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Cite this