Google Inc.

Randall G Keller

Paul Haahr

Yonghui Wu

Michael E Flaster

Hartwig Adam

Hyung-Jin Kim

Amitabh Saikia

Gabriel Wolosin

Arcot J Preetham

Zhongli Ding

Wenze Hu

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating and providing animation snippets. In one aspect, a method includes determining page resources that each include a plurality of persistent visual resources, for each of the determined page resources, generating one or more animation snippets from the persistent visual resources, for a page resource for which one or more animation snippets have been generated, selecting one of the animation snippets for display as a search result that identifies the page resource as being responsive to a search query; and providing animation snippet to a user device from which the query was submitted.

Animated snippets for search results

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating descriptive text for images. In one aspect, a method includes identifying a set of seed descriptors for an image in a document that is hosted on a website. For each seed descriptor, structure information is generated that specifies a structure of the document with respect to the image and the seed descriptor. One or more templates are generated for each seed descriptor using the structure information for the seed descriptor. Each template can include image location information, document structure information, image feature information, and a generative rule that generates descriptive text for other images in other documents. Descriptive text for other images is generated using the templates and the other documents. The descriptive text is associated with the images.

Generating descriptive text for images in documents using seed descriptors

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for adjusting facial image search results. In one aspect, a method includes detecting, in images that are responsive to a query, faces in the images and building facial templates. The images are then clustered according to similarity measures of the facial templates. The cluster with the highest quantity is selected, and each image in the set of returned images is compared to each image in the selected cluster. The similarity of each face with the faces in the largest cluster, based on the facial templates, is determined as an inlier score for the image in which the face is depicted. The system then increases the rank of images with high inlier scores and decreases the rank of images with low inlier scores.

Adjustment of facial image search results

Methods, systems, and apparatus for identifying landing pages for images. In one aspect, a method includes, for each image of a plurality of images, identifying web pages that each include the image, and, for each of the web pages, receiving a web score generated by a ranking algorithm. The web page having a web score indicating a highest importance relative to other web pages is selected, sets of similar images are determined from the images included in the selected web pages, and each set of similar images includes different images. For each set of similar images, an image is selected based on the selected web page that includes the selected image having a highest web score of the set, and the selected web page that includes the selected image is identified as a landing page for an image search result.

Identifying landing pages for images

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Palo Alto, CA, United States of America

Randall G Keller