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Detecting “Action” and “Cut” in Archival Footage Using a Multi-model Computer Vision and Audio Approach with Azure Cognitive Services

September 27, 2021 Sep 27, 2021 09/27/21
Nile Wilson
Movies and TV shows require multiple takes per scene and may have a substantial amount of archival footage as a result. Here, we use Azure Cognitive Services and custom code to develop a multi-model Machine Learning (ML) solution to automatically detect discardable footage to save media companies manual archiving hours and storage space.

Automating Receipt Processing

July 5, 2017 Jul 5, 2017 07/5/17
CY Yam
Claiming expenses is usually a manual process. This project aims to improve the efficiency of receipt processing by looking into ways to automate this process.  This code story describes how we created a skeletal framework to achieve the following: We found a few challenges in addressing these goals. For instance, the ...

Processing Time Series Data with HDInsight Storm

July 21, 2015 Jul 21, 2015 07/21/15
Tim Park
At Microsoft, we are working with a number of car manufacturers on processing telemetry streams. One of the key business scenarios for the incoming real-time car telemetry is to offer real-time driver risk scoring for end user driving guidance applications, fleet administration, and usage-based insurance scenarios.