Intelligent Systems and Methods for Visual Search Queries
AssigneeGoogle Inc.
InventorsBrett Aladdin Barros, Joshus Lee Fleetwood, Paulo Jose Telo Coelho
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AssigneeGoogle Inc.
InventorsBrett Aladdin Barros, Joshus Lee Fleetwood, Paulo Jose Telo Coelho
Estimating the term…
A user can submit a visual query that includes one or more images. Various processing techniques such as optical character recognition (OCR) techniques can be used to recognize text (e.g. in the image, surrounding image(s), etc.) and/or various object detection techniques (e.g., machine-learned object detection models, etc.) may be used to detect objects (e.g., products, landmarks, animals, humans, etc.) within or related to the visual query. Content related to the detected text or object(s) can be identified and potentially provided to a user as search results or a proactive content feed. As such, aspects of the present disclosure enable the visual search system to more intelligently process a visual query to provide improved search results and content feeds, including those search results which are more personalized and/or consider contextual signals to account for implicit characteristics of the visual query and/or user's search intent.
A computer-implemented method for providing personalized visual search query result notifications within a user interface overlaid upon imagery, the method comprising:
A computing system that returns content for multiple canonical items responsive to visual search queries, the computing system comprising:
A computing system to disambiguate between object-specific and categorical visual queries, the computing system comprising:
A computer-implemented method for returning content for multiple composed entities to visual search queries, comprising:
Dependencies are inferred from the claim text.