Methods and Systems for Automatically Generating Backdrop Imagery for a Graphical User Interface

A computing device comprising:

• one or more processors;
• and
• a tangible, non-transitory computer-readable medium having stored thereon program instructions that, upon execution by the one or more processors, cause the computing device to perform a set of operations comprising:
• training a machine learning region of interest (ROI) program to identify a candidate ROI in a raw image, wherein the machine learning ROI program is configured to predict ROI characteristics for the raw image based on expected ROI characteristics represented in a set of training images;
• identifying, using the machine learning ROI program, the candidate ROI in the raw image;
• manipulating the raw image relative to a backdrop imagery canvas based on a location of the candidate ROI within the raw image;
• and
• generating a set of candidate backdrop images in which at least a portion of the candidate ROI occupies a preselected area of the backdrop imagery canvas.

A computer-implemented method comprising:

• training a machine learning region of interest (ROI) program to identify a candidate ROI in a raw image, wherein the machine learning ROI program is configured to predict ROI characteristics for the raw image based on expected ROI characteristics represented in a set of training images;
• identifying, using the machine learning ROI program, the candidate ROI in the raw image;
• manipulating the raw image relative to a backdrop imagery canvas based on a location of the candidate ROI within the raw image;
• and
• generating a set of candidate backdrop images in which at least a portion of the candidate ROI occupies a preselected area of the backdrop imagery canvas.