Content filtering in media playing devices
AssigneeSoundHound AI IP, LLC
InventorsThor S. Khov, Terry Kong
Life of this patent
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Abstract
Various approaches relate to user defined content filtering in media playing devices of undesirable content represented in stored and real-time content from content providers. For example, video, image, and/or audio data can be analyzed to identify and classify content included in the data using various classification models and object and text recognition approaches. Thereafter, the identification and classification can be used to control presentation and/or access to the content and/or portions of the content. For example, based on the classification, portions of the content can be modified (e.g., replaced, removed, degraded, etc.) using one or more techniques (e.g., media replacement, media removal, media degradation, etc.) and then presented.
Claims18
A computing system, comprising:
- an input buffer;
- an output buffer;
- a computing device processor;
- and
- a memory device including instructions that, when executed by the computing device processor, enables the computing system to:
- obtain media data from the input buffer,
- use a neural network filter to identify undesirable content represented in the media data, wherein the neural network performs an autoencoding to generate a feature vector, sets a value of a feature that represents undesirable content to zero, and performs a decoding of the feature vector,
- process the media data using the neural network filter to generate filtered media without the undesirable content, wherein the neural network filter performs autoencoding and autodecoding to generate the filtered media, and
- store the filtered media to the output buffer.
A media playing device, comprising:
- an input buffer;
- an output buffer;
- a computing device processor;
- and
- a memory device including instructions that, when executed by the computing device processor, enables the media playing device to:
- obtain media data from the input buffer,
- use a neural network filter to identify undesirable content represented in the media data, wherein the neural network performs an autoencoding to generate a feature vector, sets a value of a feature that represents undesirable content to zero, and performs a decoding of the feature vector,
- process the media data using the neural network filter to generate filtered media without the undesirable content, wherein the neural network filter performs autoencoding and autodecoding to generate the filtered media, and
- store the filtered media to the output buffer.
Dependencies are inferred from the claim text.