Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Jiazhi Ou

Sriram Sampath

Tad Dennis Brockway

Jonathan Hedley

Shubham Chandra Gupta

Gowtham Jeyabalan

Nitin Singhal

Aruna Somendra

Mark Hawley Yang

Techniques for analyzing stored video upon a request are described. For example, a method of receiving a first application programming interface (API) request to analyze a stored video, the API request to include a location of the stored video and at least one analysis action to perform on the stored video; scheduling a job for the first API request using a global scheduler, the global scheduler to schedule, based at least in part on available bandwidth of processing components including a segmenter, a chunk processor, and a reducer, at least one job queue associated at least one of the processing components; accessing the location of the stored video to retrieve the stored video; segmenting the accessed video into chunks; processing each chunk with a chunk processor to perform the at least one analysis action, each chunk processor to utilize at least one machine learning model in performing the at least one analysis action; joining the results of the processing of each chunk to generate a final result; storing the final result; and providing the final result to a requestor in response to a second API request is described.

Per component schedulers making global scheduling decision

Example embodiments of the present disclosure are related to terminal servers. In an example embodiment a license can be associated with, or define, a set of capabilities and a session can be generated that includes the capabilities. In an example embodiment the session can be generated in view of a license and privileges that are associated with an account identifier of a user requesting a session from a terminal server.

Remote computing session feature differentiation

Growing community of inventors

Bellevue, WA, United States of America

Jiazhi Ou