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Live stream moderation in real time

ContentCore Live enables video platforms to detect illegal streams of time-sensitive Live Events: sports, awards, and concerts

How ContentCore Live works

To identify live-streamed content, ContentCore Live combines video fingerprinting and AI-driven video matching technologies. ContentCore Live ensures rapid, scalable, and secure live content recognition.

Detect illegal live streams in real time

Get notified when sports, awards, and other time-sensitive live events are illegally streamed on your platform

Prevent
copyright claims

Instantly identify copyrighted content among user-uploaded videos

Сomply
with Article 17 EU

Meet existing and upcoming regulations by enhancing your platform’s content identification capabilities

Users of ContentCore Live

Platforms with user-generated content benefit the most from using ContentCore Live. With the single solution, video platforms can ensure rightsholders and viewers that there are only official live streams available on the platform.

Why video platforms select ContentCore Live

The entire technology behind ContentCore Live has been developed by WebKyte’s engineers and has been patented in the United States. The proprietary algorithms of video matching ensure rapid matching, regardless of stream quality, audio variations, or potential video distortions.

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.

Cost-effective

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

Detect illegal videos regardless of their audio, metadata,
and video distortions

Video fingerprinting
vs. other video recognition methods

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

Case

Manual identification

Basic hashing

Audio fingerprinting

Video fingerprinting

An exact copy with exact metadata

An exact copy with changed metadata

A distorted copy with changed metadata

An exact copy with an unofficial dubbing

A distorted copy with an unofficial dubbing

Know what is live on your platform

Fill in the form to learn how you can use ContentCore Live in your business





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