Video encoding optimization for machine learning content categorization

A method comprising:

• preprocessing, by a motion estimation unit comprising circuitry, an input frame;
• generating an indication, by the motion estimation unit, based at least in part on a comparison of the input frame to a previous frame;
• responsive to the indication meeting a condition:
• processing, by a machine learning (ML) engine comprising circuitry, the input frame;
• and
• providing one or more outputs of the ML engine to an encoder for encoding the input frame;
• and
• responsive to the indication not meeting the condition, preventing processing of the input frame by the ML engine.

A system comprising:

• a memory storing at least a portion of an input frame;
• and
• a processor comprising circuitry configured to:
• preprocess an input frame;
• and
• generate an indication, based at least in part on a comparison of the input frame to a previous frame;
• responsive to the indication meeting a condition:
• process the input frame;
• and
• provide one or more outputs of the ML engine circuitry to an encoder for encoding the input frame;
• and
• responsive to the indication not meeting the condition, prevent processing of the input frame by the ML engine circuitry.