Automated image retrieval with image graph

A computer system for automated image retrieval, the computer system comprising:

• a processor configured to execute instructions;
• a non-transient computer-readable medium comprising instructions executable by the processor for:
• determining similarity scores for a query image for each other image of a set of other images in the set of images, the similarity scores based on similarity of an image descriptor of the query image and an image descriptor of the other image;
• connecting, in an image retrieval graph, a set of image nodes, which correspond to a subset of other images selected based on the similarity scores, to a query node corresponding to the query image with connections having an edge weight based on inliers between the connected nodes;
• and
• identifying relevant images to the query image based on traversal of the image retrieval graph from the query node based on edge weights between nodes in the image retrieval graph.

A method for automated image retrieval, the method comprising:

• determining similarity scores for a query image for each other image of a set of other images in the set of images, the similarity scores based on similarity of an image descriptor of the query image and an image descriptor of the other image;
• connecting, in an image retrieval graph, a set of image nodes, which correspond to a subset of other images selected based on the similarity scores, to a query node corresponding to the query image with connections having an edge weight based on inliers between the connected nodes;
• and
• identifying relevant images to the query image based on traversal of the image retrieval graph from the query node based on edge weights between nodes in the image retrieval graph.

A non-transitory computer-readable medium containing computer program code executable by a processor for the processor for:

• determining similarity scores for a query image for each other image of a set of other images in the set of images, the similarity scores based on similarity of an image descriptor of the query image and an image descriptor of the other image;
• connecting, in an image retrieval graph, a set of image nodes, which correspond to a subset of other images selected based on the similarity scores, to a query node corresponding to the query image with connections having an edge weight based on inliers between the connected nodes;
• and
• identifying relevant images to the query image based on traversal of the image retrieval graph from the query node based on edge weights between nodes in the image retrieval graph.