Amazon Technologies, Inc.

Praveen Kumar Udayakumar

Stefano Stefani

Andrea Olgiati

Gaurav D Ghare

Roman Goldenberg

Joseph Patrick Tighe

Ranju Das

Vasant Manohar

Vivek Bhadauria

Jonathan Hedley

Michael Leo Weiss

Phillip Segel

Aravindhan Vijayaraghavan

Gowtham Jeyabalan

Stephen Gould

Nitin Singhal

Renjun Zheng

Kuang Han

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; 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.

Analysis of video content

Techniques described herein provide for real-time observation of utilization of one or more resources by a system in response to an input. The real-time observation by a system may occur in an environment in which end users supply inputs to the system (e.g., a production environment). In various embodiments, a server system may provide a service to a client system. A client system may take advantage of this service by sending an input to the server system. In response, the server system may perform the provisioned service using the input from the client system. In connection with the service, the utilization of resources (e.g., by a process) and/or the client system-supplied input may be recorded, such as when resources are utilized in an unexpected or interesting manner. These records may be used at a later time for testing and analysis.

Code coverage and data analysis

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Seattle, WA, United States of America

Praveen Kumar Udayakumar