US 2026/0087785 A1 · SPATIALLY CONSISTENT GEOLOCATION MODEL

Abstract

There is provided a method of determining a location of an image within a target geographic region, based on one or more characteristics of the image, comprising: determining a geolocation reference set for the target geographic region, the geolocation reference set including a plurality of reference images of the target geographic region, encoding, with a machine learning model, the one or more reference images into a spatially consistent latent space to generate a plurality of first encodings, receiving one or more images, encoding the one or more images into the latent space to generate a second encoding, and predicting the location of the one or more images by determining a first encoding of the plurality of first encodings that is within an encoding distance threshold of the second encoding. There is also provided a method of training the machine learning model to encode images into a spatially consistent latent space.

Claims20

Dependent claims

A method of training a machine learning model to encode images into a spatially consistent latent space, the method comprising:

(i) providing a first image and a second image, from a training data set, to an input of the machine learning model;
(ii) encoding, with an encoding layer of the machine learning model, the first image and the second image into a first encoding and a second encoding, wherein the first encoding and the second encoding are in the spatially consistent latent space;
(iii) computing a loss between the first encoding and the second encoding, wherein the loss is an encoding distance between the first encoding and the second encoding;
(iv) updating the machine learning model based on the computed loss to optimize an encoding distance;
and
(v) iterating steps (i) to (iv) with a n-th image and a (n+1)-th image, from the training data set.

3 more elements

Dependencies are inferred from the claim text.

Spatially consistent geolocation model

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Spatially consistent geolocation model

Life of this patent

Abstract

Claims20