Google Inc.

Matthew John Bridges

Hartwig Adam

David Petrou

Hartmut Neven

Matthew Ryan Casey

Andrew Logan Harp

Shailesh Nalawadi

Adam L Berenzweig

Andrews-Junior Kimbembe

Teresa Ko

Mikkel Crone Koser

Alexei Masterov

Paul Chang

Sharadh Ramaswamy

David Foster Lieb

Jingyu Cui

Madhur Khandelwal

Timothy Priestley Novikoff

Juan Carlos Anorga

Leslie Ikemoto

Shaun Tungseth

Evan Stephen Millar

Austin Suszek

Jorge Verdu

Alexander Roe

Marc Cannon

Alessandro Fin

Ruirui Jiang

Jeremy Selier

Gang Song

Jeffrey M Gilbert

Songbo Jin

Raja Ratna Murthy Ayyagari

Mugdha Kulkarni

Andrew Harp

Krishnendu Chaudhury

Sergiu Goschin

A system and method of identifying objects is provided. In one aspect, the system and method includes a hand-held device with a display, camera and processor. As the camera captures images and displays them on the display, the processor compares the information retrieved in connection with one image with information retrieved in connection with subsequent images. The processor uses the result of such comparison to determine the object that is likely to be of greatest interest to the user. The display simultaneously displays the images the images as they are captured, the location of the object in an image, and information retrieved for the object.

System and method of identifying visual objects

Methods, systems, and apparatus for efficient image analysis. In some aspects, a system includes a camera configured to capture images, one or more environment sensors configured to detect movement of the camera, a data processing apparatus, and a memory storage apparatus in data communication with the data processing apparatus. The data processing apparatus can access, for each of a multitude of images captured by a mobile device camera, data indicative of movement of the camera at a time at which the camera captured the image. The data processing apparatus can also select, from the images, a particular image for analysis based on the data indicative of the movement of the camera for each image, analyze the particular image to recognize one or more objects depicted in the particular image, and present content related to the one or more recognized objects.

Efficient image analysis

Implementations of the present disclosure include actions of receiving image data of an image capturing a scene, receiving data describing one or more entities determined from the scene, the one or more entities being determined from the scene, determining one or more actions based on the one or more entities, each action being provided at least partly based on search results from searching the one or more entities, and providing instructions to display an action interface comprising one or more action elements, each action element being to induce execution of a respective action, the action interface being displayed in a viewfinder.

Smart camera user interface

Implementations relate to causing a command to be executed based on an image. In some implementations, a computer-implemented method includes obtaining and programmatically analyzing an image to determine suggested actions. The method causes a user interface to be displayed that includes user interface elements corresponding to default actions, and to suggested actions that are determined based on analyzing the image. The method receives user input indicative of selection of a particular action from the default actions and the suggested actions. The method causes a command to be executed by a computing device for the particular action that was selected.

Suggested actions for images

Implementations relate to removal of one or more images from a view of a plurality of images. In some implementations, a method includes obtaining a plurality of images, programmatically analyzing the plurality of images to determine a plurality of image features, and determining one or more image categories for the plurality of images based on the image features. The method further includes identifying a subset of the plurality of images based on the image categories, wherein each image of the subset is associated with an image category for archival. The method further includes causing a user interface to be displayed that includes one or more images of the subset, receiving user input to archive at least one of the one or more images, and in response to the user input, removing the at least one of the images from a view of the plurality of images.

Image archival based on image categories

Growing community of inventors

New Providence, NJ, United States of America

Matthew John Bridges