Low-power fast-response machine learning variable image compression

A method for variably compressing image data, comprising:

• receiving image data;
• passing the received image data to a machine learning model;
• processing the image data within the machine learning model to generate a plurality of inferences;
• utilizing the generated inferences to:
• recognize a plurality of dynamically moving subjects within the image data;
• generate a region of image data for each recognized subject;
• determine the relative speed of each recognized subject;
• generate two or more speed classifications based on the relative speed;
• and
• select a level of compression for each of the plurality of subjects based on the determined speed classifications;
• compressing each generated region of image data according to the selected level of compression associated with the corresponding subject;
• and
• compressing at least a portion of the remaining image data utilizing a predetermined level of compression, the predetermined level being different from the selected level of compression for at least one of the plurality of recognized subjects.

A device, comprising:

• one or more processors collectively configured to direct the device to:
• receive image data for processing;
• pass the received image data to a machine learning model;
• recognize two or more subjects within the image data;
• classify a first subject based on a first detected speed of the first subject;
• classify a second subject based on a second detected speed of the second subject, wherein the second detected speed is different than the first detected speed;
• generate a first region of the image data based on the recognized subjects;
• generate a second region of the image data comprising the remaining image data;
• compress the image data in the first region at a first compression level based on the classifications of the first subject and the second subject;
• and
• compress the image data in the second region at a second compression level different from the first compression level.