Methods and systems of spatiotemporal pattern recognition for video content development
a spatiotemporal pattern and video content technology, applied in the field of methods and systems of spatiotemporal pattern recognition for video content development, can solve problems such as difficulty in transforming x, y, z data into meaningful and existing sports terminology, and lack of tools capable of mining and analyzing such information
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[0221]FIG. 1 illustrates a technology stack 100 indicative of technology layers configured to execute a set of capabilities, in accordance with an embodiment of the present invention. The technology stack 100 may include a customization layer 102, an interaction layer 104, a visualizations layer 108, an analytics layer 110, a patterns layer 112, an events layer 114, and a data layer 118, without limitations. The different technology layers or the technology stack 100 may be referred to as an “Eagle” Stack 100, which should be understood to encompass the various layers allow precise monitoring, analytics, and understanding of spatio-temporal data associated with an event, such as a sports event and the like. For example, the technology stack may provide an analytic platform that may take spatio-temporal data (e.g., 3D motion capture “XYZ” data) from National Basketball Association (NBA) arenas or other sports arenas and, after cleansing, may perform spatio-temporal pattern recognitio...
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