CPC G06T 3/4038 (2013.01) [G06F 17/15 (2013.01); G06F 18/24 (2023.01); G06N 3/04 (2013.01); G06N 20/00 (2019.01); G06T 5/003 (2013.01); G06V 10/82 (2022.01)] | 48 Claims |
1. A method for processing image mosaics suitable for machine classification of non-image data the method comprising:
generating the image mosaics for use in the machine classification, the image mosaics comprised of image data and graphical indicia derived based on the non-image data, the image mosaics comprised of two or more different image subcomponents that are created based on information associated with an incident or event characterized by the non-image data;
assembling and/or arranging the two or more different image subcomponents in a spatial orientation within a single image mosaic as a function of correlating factors associated with the non-image data underlying the image mosaics, the correlating factors including data that enables a test incident or event to be correlated with known incidents or events; and
analyzing an image mosaic of the test incident or event against the image mosaics of the known incidents or events, wherein recognition of the test incident or event is improved by comparison of image mosaics of the test incident or event against image mosaics of the known incidents or events, the image mosaics being derived via machine learning.
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