Methods for encoding video data

A computing device comprising:

• one or more processors;
• and
• memory,
• wherein the computing device is arranged to perform, using the one or more processors, operations comprising:
• receiving, at a machine learning model, encoding statistics derived from an encoding, performed by an external encoder, of at least one frame of a first video scene;
• processing the received encoding statistics using the machine learning model to determine one or more encoder settings for the external encoder;
• and
• outputting, from the machine learning model, the determined one or more encoder settings for use by the external encoder to encode a second video scene,
• wherein the machine learning model is trained to predict, using encoding statistics input into the machine learning model, encoder settings which, when used by the external encoder to encode video data, optimise a data rate and/or video quality associated with the encoded video data.

A non-transitory computer-readable medium that stores instructions which, when executed by one or more processors, causes the one or more processors to perform operations comprising:

• receiving, at a machine learning model, encoding statistics derived from an encoding, performed by an external encoder, of at least one frame of a first video scene;
• processing the received encoding statistics using the machine learning model to determine one or more encoder settings for the external encoder;
• and
• outputting, from the machine learning model, the determined one or more encoder settings for use by the external encoder to encode a second video scene,
• wherein the machine learning model is trained to predict, using encoding statistics input into the machine learning model, encoder settings which, when used by the external encoder to encode video data, optimise a data rate and/or video quality associated with the encoded video data.