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CONTEXT-AWARENESS THROUGH BIASED ON-DEVICE IMAGE CLASSIFIERS

机译:通过偏置的设备内图像分类器进行上下文感知

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.
机译:本公开的示例使得能够有效地处理图像。从多个图像中提取一个或多个特征。基于所提取的特征,将多个图像分类为包括多个第一图像的第一组和包括多个第二图像的第二组。多个第一图像中的一个或多个图像是误报。多个第一图像并且多个第二图像均不被发送到远程设备。远程设备被配置为处理一个或多个图像,包括识别提取的特征,理解图像和/或生成一个或多个可操作项。本公开的各方面有利于节省本地设备处的存储器,减少处理器负载或本地设备处消耗的能量的量,和/或减少本地设备与远程设备之间的网络带宽使用。

著录项

  • 公开/公告号US2016267324A1

    专利类型

  • 公开/公告日2016-09-15

    原文格式PDF

  • 申请/专利权人 MICROSOFT TECHNOLOGY LICENSING LLC;

    申请/专利号US201514715555

  • 发明设计人 JIN LI;JIE LIU;MOHAMMED SHOAIB;

    申请日2015-05-18

  • 分类号G06K9/00;H04N1/00;H04N5/225;

  • 国家 US

  • 入库时间 2022-08-21 14:38:50

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