Showing results for Microsoft Cognitive Services - ISE Developer Blog

Sep 27, 2021
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Detecting “Action” and “Cut” in Archival Footage Using a Multi-model Computer Vision and Audio Approach with Azure Cognitive Services

Nile Wilson
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.

CSEMachine LearningCognitive Services
Sep 20, 2021
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Building an Action Detection Scoring Pipeline for Digital Dailies

Samuel Mendenhall
Samuel Mendenhall

Media companies capture footage filmed for the entire day in what's known as ‘digital dailies’. When talking about terabytes and petabytes of content, storage costs can be a factor. Lets explore Machine Learning approaches to identify which content can be archived or discarded which will save on those storage costs.

CSEMachine LearningCognitive Services
Dec 5, 2017
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Comparing Image-Classification Systems: Custom Vision Service vs. Inception

Clemens Wolff
Clemens Wolff

This story covers how to get started with transfer-learning and build image classification models in Python with the Custom Vision Service. We compare the results with the popular Tensorflow-based models Inception and MobileNet.

Machine LearningCognitive Services
Aug 7, 2017
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Developing a Custom Search Engine for an Expert Chat System

Mona Soliman Habib
Mona Soliman Habib

We address the challenge of creating a custom search experience for a specific domain area. We also provide a guide for creating your own custom search experience by leveraging Azure Search and Cognitive Services and sharing custom code for iterative testing, measurement and indexer redeployment.

Machine LearningBotsCognitive Services
Jul 5, 2017
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Automating Receipt Processing

CY Yam
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 quality of...

Machine LearningDevOpsCognitive Services
Jul 1, 2017
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Building an Image Classification Pipeline Using Serverless Architecture

Jason Fox
Jason Fox

We collaborated on an image classification pipeline to perform automatic face detection and matching using machine learning via Microsoft Cognitive Services Face API. Our project was built with Azure Functions to process images using message queues.

Machine LearningAzure App Services
May 12, 2017
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Food Classification with Custom Vision Service

Olga Liakhovich
Olga Liakhovich

How we created an app to identify foods and their nutritional content by using the new Custom Vision Service to leverage domain-specific image recognition powered by DNNs.

Machine Learning