Retrieving images that correspond to a target subject matter within a target context

A system for determining a context of a main product and at least one context product in an image, the system comprising:

• a product identification module, executable by at least one processor, and configured to
• classify, using a first neural network having one or more product classification layers, a first context product in a feature map, the feature map representing features in a first image containing the main product and in a second image containing the main product, and
• classify, using the first neural network, a second context product in the feature map;
• a prominent region detection module, executable by the at least one processor, and configured to classify, using a second neural network, a common prominent feature in the feature map, the common prominent feature being different from the first context product and the second context product;
• a product association module, executable by the at least one processor responsive to classifying the common prominent feature, and configured to
• associate the first image with the first context product, and
• associate the second image with the second context product;
• and
• a product display module, executable by the at least one processor, and configured to receive a user selection of the first context product or the second context product, and
• cause the first image to be displayed via a display device in response to the user selection of the first context product, and the second image to be displayed via the display device in response to the user selection of the second context product.

A computer program product including one or more non-transitory machine-readable mediums having instructions encoded thereon that when executed by at least one processor cause a process to be carried out for determining a context of a main product and at least one context product in an image, the process comprising:

• classifying a first context product in a feature map using a first neural network having one or more product classification layers, the feature map representing features in a first image containing the main product and in a second image containing the main product;
• classifying a second context product in the feature map using the first neural network;
• classifying a common prominent feature in the feature map using a second neural network having one or more prominent feature classification layers, the common prominent feature being different from the first context product and the second context product;
• associating, in response to identifying the common prominent feature, the first image with the first context product and further associating the second image with the second context product;
• and
• causing the first image to be displayed on a display device in response to a user selection of the first context product, and the second image to be displayed on the display device in response to a user selection of the second context product.