Context aware word cloud for context oriented dynamic actions
AssigneeiStreamPlanet Co., LLC
InventorNachiketa MISHRA
Life of this patent
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Abstract
A method for generating context information for a video stream includes selecting a set of frames of a video stream, applying a first machine learning model to the set of frames to extract action information from the set of frames, applying natural language learning to the set of frames to identify dialogue associated with the set of frames, and generating context information to categorize the dialogue and action information for the set of frames.
Claims21
A method for generating context information for a video stream, the method comprising:
- selecting a set of frames of a video stream;
- applying a first machine learning model to the set of frames to extract action information from the set of frames;
- applying natural language learning to the set of frames to identify dialogue associated with the set of frames;
- and
- generating context information to categorize the dialogue and action information for the set of frames.
A non-transitory machine-readable storage medium that provides instructions that, if executed by a processor, will cause said processor to perform operations of a method for generating context information for a video stream, the operations comprising:
- selecting a set of frames of a video stream;
- applying a first machine learning model to the set of frames to extract action information from the set of frames;
- applying natural language learning to the set of frames to identify dialogue associated with the set of frames;
- and
- generating context information to categorize the dialogue and action information for the set of frames.
An electronic device to implement a method for generating context information for a video stream, the electronic device comprising:
- a non-transitory machine-readable storage medium having stored therein a context generator;
- and
- a processor coupled to the non-transitory machine-readable storage medium, the processor to execute the context generator, the context generator to select a set of frames of a video stream, apply a first machine learning model to the set of frames to extract action information from the set of frames, apply natural language learning to the set of frames to identify dialogue associated with the set of frames, and generate context information to categorize the dialogue and action information for the set of frames.
Dependencies are inferred from the claim text.