Cookies managing
We use cookies to provide the best site experience.
Cookies managing
Cookie Settings
Cookies necessary for the correct operation of the site are always enabled.
Other cookies are configurable.
Essential cookies
Always On. These cookies are essential so that you can use the website and use its functions. They cannot be turned off. They're set in response to requests made by you, such as setting your privacy preferences, logging in, or filling in forms.
Analytics cookies
These cookies collect information to help us understand how our Websites are being used or how effective our marketing campaigns are, or to help us customize our Websites for you.
Advertising cookies
These cookies provide advertising companies with information about your online activity to help them deliver more relevant online advertising to you or to limit how many times you see an ad.

Video fingerprinting for content recognition

Learn more about the advanced technology that enables fast, accurate, and scalable video recognition

Video fingerprinting explained

WebKyte Video Fingerprint is a compact representation of a video that contains a digital description of selected frames. It’s a small file created from a video, where each fingerprint is unique to the original video.

Generation of video fingerprints is conducted during a multi-step process that includes the detection and extraction of key video frames and encoding of their visual features to the binary representation. It’s a completely secure process that can be done without sharing original video content.

Video fingerprints are irreversible to the original files and cannot be identified without metadata.

When matched with other fingerprints, it enables rapid identification of copies of the video or copies of its separate parts.

Video fingerprinting in action

Video fingerprinting technology has been proven to be highly effective for automating mass-scale video identification, filtering user-generated content, and ensuring compliance with copyright regulations.
Precise video matching
By using video fingerprints instead of video files, the process of content matching becomes significantly faster, delivering real-time results with near-zero false positives.
High accuracy
The usage of video fingerprints makes the probability of false positive results
is nearly zero.
Built for scale
Video fingerprinting technology excels at handling large volumes of video content. It’s easier and faster to store and process compact representations of videos when it comes to massive amounts of data.
Secure by design
Video fingerprints are irreversible to the original files providing the highest level of content security. It’s impossible to identify the content without metadata.
Automation of content recognition eliminates the need for extensive teams of analysts. A single content security professional can manage large amounts of content simultaneously.
Distortion resistant
Video fingerprints rely on video frames identifying content regardless of metadata, audio, and different distortions.

Supported video distortions

Identify copies regardless of their audio, metadata,
and video distortions
Quality changes / CAMRip
Dynamic zooming
Horizontal and vertical sidebars
Slight rotation or cropping
Logos and drawings overlays
Interface elements, ticker, etc.
Color modifications
Time inconsistencies such as playback
Slight speed increase/decrease
Video fragments cut

Video fingerprinting
vs. other video recognition methods

Video fingerprinting detects the biggest number of video copies in comparison to other methods

Let's talk video fingerprinting

Fill in the form to learn how you can use video fingerprinting in your business