Shutterstock, Inc.

Mike Ranzinger

Heath Hohwald

Nathan Hurst

Various aspects of the subject technology relate to systems, methods, and machine-readable media for composition aware image querying. A system may receive user input identifying a search query for content from a client device, where the user input indicates one or more queries assigned to one or more regions of a search input page. The system may generate a query vector for each query using a computer-operated neural language model. The system may compare the query vector to an indexed vector for each region of an image. The system may determine a listing of composition-specific images from a collection of images based on the comparison. The system may determine a ranking for each image in the listing of composition-specific images, and provide search results responsive to the search query to the client device. The search results may include a prioritized listing of the composition-specific images based on the determined ranking.

Composition aware image querying

Various aspects of the subject technology relate to systems, methods, and machine-readable media for identification of a salient portion of an image. A system may receive user input identifying a search query for content from a client device. The system may determine a listing of images responsive to the search query from an image collection. The system may obtain one or more image crops for at least one image of the listing of images based on a saliency map of the at least one image. In one or more implementations, each of the one or more image crops indicates a salient region of a corresponding image. The system may provide a set of search results responsive to the search query to the client device. In one or more implementations, the set of search results includes the obtained one or more image crops in a prioritized listing of image crops.

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Boulder, CO, United States of America

Mike Ranzinger