CONTEXT-AWARENESS THROUGH BIASED ON-DEVICE IMAGE CLASSIFIERS

摘要

Examples of the disclosure enable efficient processing of images. One or more features are extracted from a plurality of images. Based on the extracted features, the plurality of images are classified into a first set including a plurality of first images and a second set including a plurality of second images. One or more images of the plurality of first images are false positives. The plurality of first images and none of the plurality of second images are transmitted to a remote device. The remote device is configured to process one or more images including recognizing the extracted features, understanding the images, and/or generating one or more actionable items. Aspects of the disclosure facilitate conserving memory at a local device, reducing processor load or an amount of energy consumed at the local device, and/or reducing network bandwidth usage between the local device and the remote device.

主权项

1. A computer-implemented method for classifying one or more images, the method comprising executing on one or more computing devices the operations of:
extracting one or more features from a plurality of images; based on the extracted features, classifying the plurality of images into a first set including a plurality of first images and a second set including a plurality of second images, one or more images of the plurality of first images being false positives; and transmitting the plurality of first images and none of the plurality of second images to a remote device, the remote device configured to process one or more images including one or more of recognizing the extracted features, understanding the images, and generating one or more actionable items.