Patent ID: 11922674
Assignee: VIZIT LABS, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 12:
13. A method comprising:
selecting, by one or more processors, a set of training images;
extracting, by the one or more processors, a set of features from each training image of the set of training images to generate a feature tensor for each training image;
constructing, by the one or more processors, a generative model representing the set of features based on the feature tensor for each training image;
identifying, by the one or more processors, a candidate image; and
calculating, by the one or more processors, a similarity score representing a degree of visual similarity between the candidate image and the set of training images, based on the generative model, wherein calculating the similarity score comprises applying, by the one or more processors, a regression algorithm to the candidate image and the generative model.