Google Inc.

Pinterest, Inc.

Yushi Jing

Shumeet Baluja

Jay Yagnik

Henry Allan Rowley

Dandapani Sivakumar

Jian Yuan

Stephen Conor Holiday

Wei Cai

Michele Mae Covell

Yang Song

Hartwig Adam

Ullas Gargi

Ming Zhao

Aparna Chennapragada

Sergey Ioffe

Charles Joseph Rosenberg

Hui Li

Boon-Lock Yeo

Meng Wang

Jingbin Wang

Gangjiang Li

Yi Liu

Sarah Moussa

Guang Hua Li

Cai Wei

David Tsai

Richard Carl Gossweiler, Iii

Dmitry Olegovich Kislyuk

Alexandru Marius Pasca

Naveen Gavini

Andrew Huan Zhai

Thomas Leung

Guanghua Li

Kelei Xu

Techniques for identifying groups of local features in an image and presenting advertisement information associated with stored images that match one or more features within the group of local features are described. The techniques include providing an image, identifying a region of interest in the image, providing a user-selectable link associated with the region of interest in the image, receiving a request for the region of interest in the image via the user-selectable link, and presenting advertisement information associated with a stored image that matches one or more features within the requested region of interest.

Informational and advertiser links for use in web mapping services

Described is a system and method for enabling dynamic selection of a search input. For example, rather than having a static search input box, the search input may be dynamically positioned such that it encompasses a portion of displayed information. An image segment that includes a representation of the encompassed portion of the displayed information is generated and processed to determine an object represented in the portion of the displayed information. Additional images with visually similar representations of objects are then determined and presented to the user.

Dynamic search input selection

Described is a system and method for enabling visual search for information. With each selection of an object included in an image, additional images that include visually similar objects are determined and presented to the user.

Object based image based search

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for associating still images and videos. One method includes receiving a plurality of images and a plurality of videos and determining whether the images are related to the videos. The determining includes, for an image and a video, extracting features from the image and extracting features frames of the video, and comparing the features to determine whether the image is related to the video. The method further includes maintaining a data store storing data associating each image with each video determined to be related to the image.

Associating still images and videos

Image based search

A system determines ranking scores for objects based on 'virtual' links defined for the objects. A link-based ranking score may then be calculated for the objects based on the virtual links. In one implementation, the virtual links are determined based on a metric of content-based similarity between the objects.

Link-based ranking of objects that do not include explicitly defined links

Identifying responsive resources across still images and videos

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

Co-selected images are labeled based on a topic score that is a measure of relevance of the co-selected image to a first topic to which a reference image belongs. The first topic to which the reference image belongs is identified based on a reference label associated with the reference image. The co-selected images are images that are selected for presentation subsequent to selection of the reference image during a user session. The co-selected images are identified based on selection data for user sessions in which the reference image was selected for presentation. The topic score is generated based on a frequency of selection of the co-selected image. Image search results for a second topic can be filtered to remove images that are labeled as belonging to the first topic or the image search results can be reordered to adjust the presentation positions at which images are referenced based on the topic to which the images belong.

Co-selected image classification

Image similarity operations are performed in which a seed image is analyzed, and a set of semantic classifications are determined from analyzing the seed image. The set of semantic classifications can include multiple positive semantic classifications. A distance measure is determined that is specific to the set of semantic classifications. The seed image is compared to a collection of images using the distance measure. A set of similar images is determined from comparing the seed image to the collection of images.

Performing image similarity operations using semantic classification

Methods, systems, and articles of manufacture for annotating of an image are disclosed. These include scoring the image using a plurality of trained classifiers, wherein each of the trained classifiers corresponds to at least one of a plurality of image groups clustered based upon image similarity, and wherein each image group is associated with a set of weighted labels; selecting one or more of the image groups based upon the scoring; aggregating one or more sets of weighted labels associated with the selected one or more image groups; and annotating the image using the aggregated one or more sets of weighted labels.

Retrieval of similar images to a query image

Growing community of inventors

Mountain View, CA, United States of America

Yushi Jing