Detecting content in a real-time video stream using machine-learning classifiers
AssigneeMatroid, Inc.
InventorsREZA ZADEH, RYAN WONG, JOHN GODDARD, JIAHANG LI, STEVEN CHEN, XIAOYUN YANG
Life of this patent
Estimating the term…
Loading patent…
AssigneeMatroid, Inc.
InventorsREZA ZADEH, RYAN WONG, JOHN GODDARD, JIAHANG LI, STEVEN CHEN, XIAOYUN YANG
Estimating the term…
Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems and methods describe techniques that search videos and media content to determine the presence of unknown objects, generate novel detectors trained to identify the unknown objects, and apply the novel detectors to historical media content to identify previous appearances of the unknown objects.
A computer-implemented method, the method comprising:
A non-transitory computer-readable storage medium storing executable computer instructions that, when executed by a hardware processor, are configured to cause the hardware processor to perform steps comprising:
A system comprising:
Dependencies are inferred from the claim text.