Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Department of Electronic and Information Engineering | en_US |
| dc.contributor.advisor | Law, N. F. Bonnie (EIE) | en_US |
| dc.creator | Gao, Shenglei | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/11181 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | en_US |
| dc.rights | All rights reserved | en_US |
| dc.title | Study of crucial factors affecting the accuracy of video source identification for digital forensics | en_US |
| dcterms.abstract | Photo Response Non-Uniformity (PRNU) based source camera attribution is an effective method to determine whether the image or video is taken from the same photo. This technology works well for various forensics application. It can make judgments through relevant conclusions and even determine the direction of the case. With the large-scale use of digital electronic products and the rapid development of network information, people will produce massive information every day and save it in the form of pictures and videos. This thesis investigates the factors that affect the judgment of the equipment of multimedia information shooting and some methods that can help to improve the accuracy of judgment, such as whether the original image is uploaded to social media through splicing, scaling, scanning compression and other processing methods, and analyzes whether the original judgment result will be affected after the original image is uploaded to social media through splicing, zooming, scanning compression, etc. The results show that the method of comparing with the image to be verified is feasible. The influence of nonlinear processing methods such as HDR and anti jitter mode of the camera setting on the experimental results is also explored. In the experiment, we found that turning on the anti jitter mode, stitching and clipping the images will lead to the experimental results not achieve the expected results. Therefore, we also designed to take the average frame to reduce noise, and use the same algorithm for lossy scaling comparison to improve the accuracy. | en_US |
| dcterms.extent | xii, 99 pages : color illustrations | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2021 | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.LCSH | Image processing -- Digital techniques | en_US |
| dcterms.LCSH | Digital forensic science | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 5657.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.49 MB | Adobe PDF | View/Open |
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