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| dcc:pdpsol:de-identification [2026/07/14 10:11] – [Research specific de-identification techniques] marlon | dcc:pdpsol:de-identification [2026/07/14 10:12] (current) – marlon |
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| Researchers use videos or images to record real-world behaviour, interactions, or experiments in detail, for example, tracking how people move, communicate, or perform tasks over time. It is important to de-identify this type of data, because they can easily reveal faces, voices, or surroundings, and leaving those visible can reveal participants’ identities. | Researchers use videos or images to record real-world behaviour, interactions, or experiments in detail, for example, tracking how people move, communicate, or perform tasks over time. It is important to de-identify this type of data, because they can easily reveal faces, voices, or surroundings, and leaving those visible can reveal participants’ identities. |
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| ++++ (Click) Face and body masking | You can use video editing software, such as [[https://www.adobe.com/nl/products/photoshop.html| Adobe Premiere]], or a simple command-line tool, such as [[https://pypi.org/project/deface/|Deface]] to distort or obscure identifiable information in videos. For images, tools like Paint or [[https://www.adobe.com/nl/products/photoshop.html|Adobe Photoshop]] can be used to blur or pixelate personal identifiable information. ++++ | ++++ (Click) Face and body masking | You can use video editing software, such as [[https://www.adobe.com/nl/products/photoshop.html| Adobe Premiere]], or a simple command-line tool, such as [[https://pypi.org/project/deface/|Deface]], to distort or obscure identifiable information in videos. For images, tools like Paint or [[https://www.adobe.com/nl/products/photoshop.html|Adobe Photoshop]] can be used to blur or pixelate personal identifiable information. ++++ |
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| ++++ (Click) Metadata de-identification | | ++++ (Click) Metadata de-identification | |