< SOLUTION >
Vestigium AI - Protecting video content
What makes us stand out
CONTENT
OR STREAM
EMBEDDER
TRANSCODER
ORIGIN SERVER
MIXER
OPERATOR
PLAYER
On Client devices
TOKEN
MANAGER
INTERNET
SENTINEL AI
OR
DETECTOR
THIEF
IDENTIFIED
CDN
VESTIGIUM
INFRASTRUCTURE
send_version_A
send_encoded_version_A
Stream Server
Redirector
send_chunk_A
Or send_chunk_B
send_chunk
get_chunk
get_chunk_A
Or get_chunk_B
get_token
send_token
send_encoded_version_B
send_version_B
send
identify
UNAUTHORIZED
DISTRIBUTION
monitoring
CONTENT
OR STREAM
EMBEDDER
SENTINEL AI
OR
DETECTOR
THIEF
IDENTIFIED
VESTIGIUM
INFRASTRUCTURE
send_version_A
send_version_B
send
identify
TRANSCODER
ORIGIN SERVER
OPERATOR
PLAYER
On Client devices
INTERNET
send_encoded_version_A
send_encoded_version_B
UNAUTHORIZED
DISTRIBUTION
monitoring
MIXER
TOKEN
MANAGER
CDN
Stream Server
Redirector
send_chunk_A
Or send_chunk_B
send_chunk
get_chunk
get_chunk_A
Or get_chunk_B
get_token
send_token
Vestigit Watermark – Vestigium
What is the best video-protecting solution? How about one that utilizes neural network technology to ensure exceptional resistance to various types of pirate attacks? That is what Vestigium is about – a solution utilizing complex video labeling algorithms for fast identification and tracking of the source of illegal video distribution.
It is an unique innovation dedicated to all types of audiovisual content and supports all modern video codecs and resolutions. Vestigium focuses on OTT distribution channels for both VOD and Live events.
Our user detection method is based on an unique sequence of A/B video slices. All it takes is a very short video sample to generate a unique stream sequence for each subscriber and identify the user instantly. Add easy to use interface and versatile API and the operator will protect the OTT content effortlessly. And don’t forget about our high scalability allows us to cooperate with local operators with 1500 users all the way to big international platforms with millions of users.
Key components
EMBEDDER
Integration with the operator’s transcoding and ingest blocks allows for the preparation of A and B copies of each video asset to use in further video processing.
MIXER
Full integration with CDN many vendors (such as, but not limited to!): Akamai, Azure, Cloudfront Smooth, and fast implementation.
SENTINEL AI
Uses AI semantic methods to monitor & analyze data related to the illegal use of audiovisual content on the Internet. Like a private eye!
With the original Vestigium software as a base, the service automatically searches for illegal publishing.
It grabs a sample and identifies the specific user sharing the content illegally with the invisible watermark embedded in it.
DETECTOR
Detecting an embedded video sequence even in a short sample of the stream and comparing it with sequences stored in the user database.
The module works perfectly as a service in the operator's computing cloud.
The advanced algorithm ensures identification even after heavily modifying the video content.
trusted by
Where to start
Our years of experience in the OTT market and forensic solutions, made us perfectly aware of the different needs of every operator. That is why we came up with three different models that correspond to a specific environment. Each one of them has its details that stand out, but the result is the same – protecting and maximizing your revenue streams.
LICENSE FEE
Model based on the number of subscribers
The perfect model for all the operators with a fixed number of subscribers. Designed for operators whose subscribers use the service on a regular basis.
SESSION FEE
Model based on the number of subscribers
This model is based on the number of sessions watched regardless of the number of subscribers. In this particular case, every newly established session is billed and counted, making the total fee from the number of generated sessions.
DATA PROCESSING
The Big library model
This is the ideal model for streaming and OTTs with large libraries. It counts how much watermarked data is downloaded from CDN and calculates the fee. The more data Your library processes, the more suitable this model is for You.
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