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Frequently asked questions - FAQ

Question: How robust is Videntifier™ Forensic ? Can the system be tricked by modifying videos with common video processing software?
Answer: Videntifier™ Forensic has been tested against most common digital filters. Among them are compression, contrast and brightness changes, rotation, mirroring, spatial distortion, blurring, sharpening, color changes, cropping parts of the video etc. Furthermore, experiments have been carried out with combinations of these filters as well as with adding subtitles, and even camrips (i.e. setting up a camera in front of a TV and recording the content) - all of them with great success.

Question: How safe is Videntifier™ Forensic against external attacks? How secure is the central storage system?
Answer: Videntifier™ Forensic is extremely secure against data leaks because it NEVER transmits the original video data over an open network. The visual data is processed on local fingerprint extraction units, so only the fingerprints are transferred to the central database – over an encrypted connection. It must be stressed that the Videntifier fingerprints use one-way encoding, so they can never be used to reconstruct actual content.

Question: Is Videntifier™ Forensic capable of detecting people's faces or the shape of certain objects in a video?
Answer: No, Videntifier™ Forensic cannot detect persons and thus is not suitable for surveillance of public places and airports. Videntifier™ Forensic is based on low-level features in images and can therefore only detect duplicates of videos it has seen before. The fingerprints carry no information about the semantic context of the images.

Question: How can Videntifier™ Forensic identify videos that have been stored in an encrypted format?
Answer: Videntifier™ Forensic has specialized in the identification of image data. The extraction of encrypted data on a storage device is not the focus of this service and we refer to other software and services that have specialized in the decoding and recovery of encrypted or deleted data.