Google Inc.

Christopher Max Breithaupt

Aaron Michael Donsbach

Li Zhang

Tim Phillip Wantland

Navid Shiee

Arushan Rajasekaram

Brandon Charles Barbello

Jon Gabriel Clapper

Adarsh Prakash Murthy Kowdle

Michael John Schoenberg

Bryan Woods

Anshuman Kumar

Donald Allen Barnett

Brett Aladdin Barros

Christopher Robert Conover

David Matthew Jones

Marc Seiji Oshiro

Joseph William Traylor

Allison Lee Stanfield

Ayshia Baker Gibb

Helen Chan

Nicholas Aceves

Megan Elizabeth Fazio

The present disclosure provides systems and methods that provide feedback to a user of an image capture device that includes an artificial intelligence system that analyzes incoming image frames to, for example, determine whether to automatically capture and store the incoming frames. An example system can also, in the viewfinder portion of a user interface presented on a display, a graphical intelligence feedback indicator in association with a live video stream. The graphical intelligence feedback indicator can graphically indicate, for each of a plurality of image frames as such image frame is presented within the viewfinder portion of the user interface, a respective measure of one or more attributes of the respective scene depicted by the image frame output by the artificial intelligence system.

Systems and methods for providing feedback for artificial intelligence-based image capture devices

The methods and systems described herein provide for depth-aware image editing and interactive features. In particular, a computer application may provide image-related features that utilize a combination of a (a) the depth map, and (b) segmentation data to process one or more images, and generate an edited version of the one or more images.

Depth-aware photo editing

Provided are methods, systems, and devices for generating semantic objects and an output based on the detection or recognition of the state of an environment that includes objects. State data, based in part on sensor output, can be received from one or more sensors that detect a state of an environment including objects. Based in part on the state data, semantic objects are generated. The semantic objects can correspond to the objects and include a set of attributes. Based in part on the set of attributes of the semantic objects, one or more operating modes, associated with the semantic objects can be determined. Based in part on the one or more operating modes, object outputs associated with the semantic objects can be generated. The object outputs can include one or more visual indications or one or more audio indications.

Sensor based semantic object generation

Display screen with graphical user interface

Display screen with icon

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Mountain View, CA, United States of America

Christopher Max Breithaupt