Google Inc.

David Karam

Hartwig Adam

Li Zhang

Aaron Michael Donsbach

Donald Allen Barnett

Yuzo Watanabe

Ariel Gilder

Anton Vayvod

Eric Penner

Farooq Ahmad

The present disclosure is directed to processing imagery using one or more machine learning (ML) models. In particular, data describing imagery comprising a plurality of different and distinct frames can be received; and based at least in part on one or more ML models and the data describing the imagery, and for each frame of the plurality of different and distinct frames, one or more scores can be determined for the frame. Each score of the score(s) can indicate a determined measure of suitability of the frame with respect to one or more of various different and distinct uses for which the ML model(s) are configured to determine suitability of imagery.

Methods and systems for processing imagery

A mobile image capture device is provided that can include an image capture system operable to capture image frames and be configured to: provide a live video stream for display in a viewfinder portion of a user interface that depicts at least a portion of a current field of view of the image capture system; store a video segment from the live video stream in a temporary image buffer that includes a plurality of image frames captured by the image capture system; receive a user input that is directed to the viewfinder portion of the user interface that requests a rewind operation; and, in response to such user input, perform the rewind operation in the viewfinder portion of the user interface with respect to the video segment in which at least two of the image frames of the video segment can be provided for display in the user interface in a reverse chronological order.

System and method for performing a rewind operation with a mobile image capture device

Growing community of inventors

Los Gatos, CA, United States of America

David Karam