Google Inc.

Wei Cai

Yushi Jing

Stephen Conor Holiday

Alexandru Marius Pasca

A server is configured to identify items of visual content; assign the identified items to clusters; assign the identified items, of a particular cluster, to layers; generate a document that includes information regarding the identified items arranged according to the clusters and the layers; and provide the document. The document may include, for the particular cluster, a first item, corresponding to one of the identified items assigned to a first layer, and second items, corresponding to multiple ones of the identified items assigned to a second layer. The size of the first item may be greater than a size of each of the second items. The first item may be presented on top of the second items, within the document, to at least partially cover the second items, where at least one of the second items is at least partially visible within the document.

Interface to facilitate browsing of items of visual content

A device may be configured to identify a plurality of images that are similar to a query image; generate a plurality of sets of rankings of the identified images based on a plurality of image attributes; compare the generated plurality of sets of rankings of the identified images to a reference set of rankings of images; select, based on the comparing, a particular set of rankings; and rank a plurality of images that are associated with another query image, based on an attribute associated with the selected particular set of rankings.

Low-overhead image search result generation

A plurality of images related to a particular image are determined, and a plurality of annotations associated with the plurality of images are identified. An ontology is determined based on the plurality of annotations, and an image annotation for the particular image is determined based on the ontology. The ontology may be a semantic ontology, for example.

System and method for determining an annotation for an image

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for evaluating image similarity. In one aspect, a method includes receiving, by a data processing apparatus, image search data for different search sessions, a search session being a pre-specified period, the image search data for a search session including: search query data specifying search queries that were received during the search session; responsive image data specifying images that were identified in response to the search queries; and interaction data specifying images referenced by search results with which a user interacted. Sets of learning images are identified based on the image search data. The sets of learning images include co-selected images for the search sessions. A query-dependent image profile for a particular image is determined based in part on the co-selected images that were identified in response to the particular query.

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Atlanta, GA, United States of America

Wei Cai