Model-based media classification service using sensed media noise characteristics

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United States of America Patent

PATENT NO 10678828
APP PUB NO 20170193097A1
SERIAL NO

15185654

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Abstract

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A neural network-based classifier system can receive a query including a media signal and, in response, provide an indication that the query corresponds to a specified media type or media class. The neural network-based classifier system can select and apply various models to facilitate media classification. In an example embodiment, a query can be analyzed for various characteristics, such as a noise profile, before it is input to the network-based classifier. If the query has greater than a specified threshold noise characteristic, then a successful classification can be unlikely and a classification process based on the query can be terminated before computational resources are expended. Query signals that meet or exceed a threshold condition can be provided to the network-based classifier for media classification. In an example embodiment, a remote device or a central media classifier circuit can determine a noise profile for a query.

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CITIBANK N A388 GREENWICH STREET NEW YORK NY 10013

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Cramer, Jason Berkeley, US 4 105
Cremer, Markus K Orinda, US 184 3126
Popp, Phillip Oakland, US 12 71
Summers, Cameron Aubrey Oakland, US 27 184

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