Zero-footprint image capture by mobile device

A system, comprising:

• a memory;
• a processor, coupled to the memory, the processor configured to:
• receive, by a video capturing application running on a mobile device, a video stream from a camera of the mobile device;
• identify a specific frame of the video stream;
• generate a plurality of hypotheses defining image borders within the specific frame;
• select, by a neural network, a particular hypothesis among the plurality of hypotheses;
• produce a candidate image by applying the particular hypothesis to the specific frame;
• determine a value of a quality metric of the candidate image;
• determine that the value of the quality metric of the candidate image exceeds one or more values of the quality metric of one or more previously processed images extracted from the video stream;
• wherein the video capturing application is a zero-footprint application.

A non-transitory computer-readable storage medium comprising executable instructions that, when executed by a computer system, cause the computer system to:

• receive, by a video capturing application running on a mobile device, a video stream from a camera of the mobile device;
• identify a specific frame of the video stream;
• generate a plurality of hypotheses defining image borders within the specific frame;
• select, by a neural network, a particular hypothesis among the plurality of hypotheses;
• produce a candidate image by applying the particular hypothesis to the specific frame;
• determine a value of a quality metric of the candidate image;
• determine that the value of the quality metric of the candidate image exceeds one or more values of the quality metric of one or more previously processed images extracted from the video stream;
• wherein the video capturing application is a zero-footprint application.