Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/107209
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electrical and Electronic Engineering | en_US |
| dc.creator | Law, SC | en_US |
| dc.creator | Law, NF | en_US |
| dc.date.accessioned | 2024-06-13T01:04:35Z | - |
| dc.date.available | 2024-06-13T01:04:35Z | - |
| dc.identifier.isbn | 978-1-5386-3025-9 (Electronic) | en_US |
| dc.identifier.isbn | 978-1-5386-3026-6 (Print on Demand(PoD)) | en_US |
| dc.identifier.uri | http://hdl.handle.net/10397/107209 | - |
| dc.description | 2018 IEEE International Conference on Consumer Electronics (ICCE), 12-14 January 2018, Las Vegas, NV, USA | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers | en_US |
| dc.rights | ©2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | en_US |
| dc.rights | The following publication S. -C. Law and N. -F. Law, "PRNU-based source identification for network video surveillance system," 2018 IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, 2018 is available at https://doi.org/10.1109/ICCE.2018.8326094. | en_US |
| dc.title | PRNU-based source identification for network video surveillance system | en_US |
| dc.type | Conference Paper | en_US |
| dc.identifier.doi | 10.1109/ICCE.2018.8326094 | en_US |
| dcterms.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. | en_US |
| dcterms.accessRights | open access | en_US |
| dcterms.bibliographicCitation | In Proceedings of 2018 IEEE International Conference on Consumer Electronics (ICCE), 12-14 January 2018, Las Vegas, NV, USA | en_US |
| dcterms.issued | 2018 | - |
| dc.identifier.scopus | 2-s2.0-85048816423 | - |
| dc.relation.conference | IEEE International Conference on Consumer Electronics [ICCE] | en_US |
| dc.description.validate | 202403 bckw | en_US |
| dc.description.oa | Accepted Manuscript | en_US |
| dc.identifier.FolderNumber | EIE-0563 | - |
| dc.description.fundingSource | Self-funded | en_US |
| dc.description.pubStatus | Published | en_US |
| dc.identifier.OPUS | 9616153 | - |
| dc.description.oaCategory | Green (AAM) | en_US |
| Appears in Collections: | Conference Paper | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Law_Prnu-Based_Source_Identification.pdf | Pre-Published version | 2.18 MB | Adobe PDF | View/Open |
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