METHODS AND SYSTEMS OF SPATIOTEMPORAL PATTERN RECOGNITION FOR VIDEO CONTENT DEVELOPMENT
First Claim
1. A method, comprising:
- taking a video feed;
processing the video feed through a spatiotemporal pattern recognition algorithm that uses machine learning to develop an understanding of an event within the video feed, wherein the understanding includes identifying context information relating to the event and an entry in a relationship library at least detailing a relationship between two visible features of the video feed;
automatically, under computer control, extracting content displaying the event and associating the extracted content with the context information relating to the event; and
producing a video content data structure that includes the context information relating to the event.
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Abstract
Producing an event related video content data structure includes processing a video feed through a spatiotemporal pattern recognition algorithm that uses machine learning to develop an understanding of an event within the video feed. Developing the understanding includes identifying context information relating to the event and identifying an entry in a relationship library at least detailing a relationship between two visible features of the video feed. Content of the video feed that displays the event is automatically extracted by a computer and associated with the context information. A video content data structure that includes the context information is produced.
51 Citations
40 Claims
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1. A method, comprising:
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taking a video feed; processing the video feed through a spatiotemporal pattern recognition algorithm that uses machine learning to develop an understanding of an event within the video feed, wherein the understanding includes identifying context information relating to the event and an entry in a relationship library at least detailing a relationship between two visible features of the video feed; automatically, under computer control, extracting content displaying the event and associating the extracted content with the context information relating to the event; and producing a video content data structure that includes the context information relating to the event. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
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28. A system, comprising:
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an ingestion facility for ingesting a plurality of video feeds; a machine learning system for processing the video feed through a spatiotemporal pattern recognition algorithm that applies machine learning on a series of events in the plurality of video feeds in order to develop an understanding of the series of events within the plurality of video feeds, wherein the understanding includes identifying context information relating to the series of events and an entry in a relationship library at least detailing a relationship between two visible features of the plurality of video feeds; an extraction facility for automatically, under computer control, extracting content displaying the series of events and associating the extracted content with the context information; and a video publishing facility for producing a video content data structure that includes the context information. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40)
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Specification