Amazon Technologies, Inc.

Doug Kurtz

Eric B Aschner

Mani Madhukar Bansal

Michael Vernon Lee

Rohan Kadam

Samuel Jacob Vercauteren

A method implemented by a computer system is provided. The method includes receiving one or more event state indicators corresponding to an event state of a content stream, the content stream comprising digital streaming content of a live event. The method also includes determining a state change of the event state based at least in part on one or more confidence level values of the one or more event state indicators. The method also includes ascertaining a risk quotient of the state change, based at least in part on a state change type of the state change, and, based at least in part on the risk quotient, implementing the state change at least in part by storing the state change in a data store in communication with the computer system.

Techniques for moderating state changes of live event streams

Systems, methods, and computer-readable media are disclosed for dynamically determining highlights of media content based on user interaction metrics and/or social media metrics. In one embodiment, an example method may include determining media content streamed to user devices over a time period and corresponding to a live event, determining user interaction data associated with the media content and indicative of user interactions with the user devices, determining, using the user interaction data, a quality score for a time interval during the time period, the quality score indicative of user engagement in a segment of the media content, determining, using the time interval and segment-by-segment metadata, a stream start time and a stream end time for the segment, generating, using the stream start time and the stream end time, a clip of the segment, and determining, using the quality score, that the clip is to be included in a highlight.

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Sammamish, WA, United States of America

Doug Kurtz