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AI-Assisted Video Frame Synthesis for Film Production

Arts & Culture · Research & Development

What it collects

Operational data
Anonymized data
  • Original video frames from film or video content produced or held by the National Film Board of Canada. These are operational media assets, not personal data.
Run by
National Film Board (NFB)
Where
No fixed location
Kept
Not stated by the Helpful Places.
Shared with
Not stated by the Helpful Places.
Your copy
You cannot see the data it holds about you. What you can do

What it is for

Arts & CultureResearch & Development

This system tested AI-based image interpolation to synthesize new video frames between existing ones, with the goal of smoothing motion in film content. It was developed and tested by the National Film Board of Canada during a development phase but was never used in production. The system affected internal GC employees only and has since been retired.

What it collects and what happens to it

Data taken in

Operational data
Anonymized data
  • Original video frames from film or video content produced or held by the National Film Board of Canada. These are operational media assets, not personal data.

Processing

Not stated by the Helpful Places.

What it does

Sensing (Perceptive AI)
Human decides
  • The system processes existing video frames as input to detect and analyze motion patterns between frames, enabling the subsequent synthesis of new intermediate frames.
Creating (Generative AI)
Human decides
  • The system generates new video frames that did not previously exist, synthesizing intermediate frames between original frames to create smoother motion in video sequences.

Outputs

Generated content
Anonymized data
  • Synthesized video frames interpolated between original frames. These are AI-generated media assets intended to smooth motion in video sequences. No personal information is produced as output.

Run by

National Film Board (NFB)
  • The National Film Board of Canada developed and tested this image interpolation system during a development phase. The system was never deployed in production and has been retired.

Government of Canada AI Register — Image interpolation

Built by

Not stated by the Helpful Places.

Kept for

Not stated by the Helpful Places.

Shared with

Not available to me
  • This system was a development-phase internal test tool used only by GC employees at the National Film Board. It is now retired and outputs are not accessible to members of the public.

Stored

Not stated by the Helpful Places.

How to read the colours

Can it identify you?

Anonymized data
Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
Pseudonymous data
Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
Identifiable data
The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.

Who completes the loop?

Human decides
This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
Human executes
This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
Autonomous
This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.

Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.

What you can do

Ask about this system

Questions go to the Helpful Places, not the vendor.

Your rights

  • Right to Algorithmic TransparencyInformation about this system is publicly available through the Government of Canada's AI and Algorithmic Systems register. The system has been retired and was never used in production.

Risks and safeguards

No risks or safeguards have been published for this system yet.