Methods and apparatuses for feature-driven machine-to-machine communications
地域：
Ottawa
摘要
Methods and apparatuses for feature-driven machine-to-machine communications are described. At a feature encoder, features are extracted from sensed raw information, to generate features that compress the raw information by a compression ratio. The feature encoder implements a probabilistic encoder to generate the features, each feature providing information about a respective probability distribution that each represents one or more aspects of the subject. The probabilistic encoder is designed to provide a compression ratio that satisfies a predetermined physical channel capacity limit for a transmission channel. The features are transmitted over the transmission channel.
說明書
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Each input/output device/interface 266 permits interaction with a user or other devices in the network. Each input/output device/interface 266 includes any suitable structure for providing information to or receiving/providing information from a user, including network interface communications. In the case of the sensor 110, the input/output device/interface 266 includes (or is) a sensing unit 267 that monitors and gathers information about an observed subject. For example, the sensing unit 267 may be a camera, a microphone, an infrared sensing unit, or any other such components.
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