PRNU-based source identification for network video surveillance system

Sai Chung Law; Ngai Fong Law

doi:10.1109/ICCE.2018.8326094

PRNU-based source identification for network video surveillance system

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

5 Citations (Scopus)

Abstract

Photo response non-uniformity (PRNU) noise has been proven instrumental for camera source identification in image forensics. The paper proposes a signal-based detection system using PRNU for source verification in video surveillance systems. The effects of different aspects such as video resolutions, frame types and environmental conditions on the accuracy and reliability of the system have been tested. Our results show that the signal-based approach is effective to verify the video source.

Original language	English
Title of host publication	2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Editors	Saraju P. Mohanty, Hai Li, Peter Corcoran, Jong-Hyouk Lee, Anirban Sengupta
Publisher	IEEE
Pages	1-2
Number of pages	2
Volume	2018-January
ISBN (Electronic)	9781538630259
DOIs	https://doi.org/10.1109/ICCE.2018.8326094
Publication status	Published - 26 Mar 2018
Event	2018 IEEE International Conference on Consumer Electronics, ICCE 2018 - Las Vegas, United States Duration: 12 Jan 2018 → 14 Jan 2018

Conference

Conference	2018 IEEE International Conference on Consumer Electronics, ICCE 2018
Country/Territory	United States
City	Las Vegas
Period	12/01/18 → 14/01/18

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Media Technology

More information

10.1109/ICCE.2018.8326094

http://hdl.handle.net/10397/107209

Cite this

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title = "PRNU-based source identification for network video surveillance system",

abstract = "Photo response non-uniformity (PRNU) noise has been proven instrumental for camera source identification in image forensics. The paper proposes a signal-based detection system using PRNU for source verification in video surveillance systems. The effects of different aspects such as video resolutions, frame types and environmental conditions on the accuracy and reliability of the system have been tested. Our results show that the signal-based approach is effective to verify the video source.",

author = "Law, {Sai Chung} and Law, {Ngai Fong}",

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Law, SC & Law, NF 2018, PRNU-based source identification for network video surveillance system. in SP Mohanty, H Li, P Corcoran, J-H Lee & A Sengupta (eds), 2018 IEEE International Conference on Consumer Electronics, ICCE 2018. vol. 2018-January, IEEE, pp. 1-2, 2018 IEEE International Conference on Consumer Electronics, ICCE 2018, Las Vegas, United States, 12/01/18. https://doi.org/10.1109/ICCE.2018.8326094

PRNU-based source identification for network video surveillance system. / Law, Sai Chung; Law, Ngai Fong.
2018 IEEE International Conference on Consumer Electronics, ICCE 2018. ed. / Saraju P. Mohanty; Hai Li; Peter Corcoran; Jong-Hyouk Lee; Anirban Sengupta. Vol. 2018-January IEEE, 2018. p. 1-2.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AB - Photo response non-uniformity (PRNU) noise has been proven instrumental for camera source identification in image forensics. The paper proposes a signal-based detection system using PRNU for source verification in video surveillance systems. The effects of different aspects such as video resolutions, frame types and environmental conditions on the accuracy and reliability of the system have been tested. Our results show that the signal-based approach is effective to verify the video source.

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PRNU-based source identification for network video surveillance system

Abstract

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