US Patent Issued to GOOGLE on Sept. 2 for "Generative machine-learned models for identifying optimal user-generated representation images" (California Inventor)

ALEXANDRIA, Va., Sept. 3 -- United States Patent no. 12,405,994, issued on Sept. 2, was assigned to GOOGLE LLC (Mountain View, Calif.).

"Generative machine-learned models for identifying optimal user-generated representation images" was invented by Lenord Melvix Joseph Stephen Max (Mountain View, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "One or more visual descriptors for a particular Point of Interest (POI) are extracted from a corpus of User-Generated Content (UGC), wherein the corpus of UGC comprises a plurality of textual content items descriptive of the particular POI. Based on the one or more visual descriptors, a machine-learned generative vision model is used to generate a query image tha...