Name: Shige Fukushima
Type: User
Company: Self-employed Engineer & Consultant for Cloud Native & Media Streaming.
Bio: Enthusiastic and deep-diving technical engineer and consultant.
Ex-Microsoft and Ex-Akamai
Twitter: shigeyf
Location: Tokyo located, Asia-wide coverrage
Blog: https://shigeyf.dev/
Shige Fukushima's Projects
AI powered digitial media library portal - sample web portal app
Akamai EdgeWorkers simulator modules for local unit tests
Akamai EdgeWorkers Response Transform app template
Angular authentication service modules with Azure Active Directory Authentication Library (ADAL) for JavaScript
Docker container for Azure CLI image
Azure Functions template with Let's Encrypt Site Extension support
Azure Media Services Explorer Tool
Azure Media Services REST API v2 samples
Azure Web App for Container - Let's Encrypt Docker template
Azure AD integrated Enterprise Video Portal Sample demo with Azure Media Services
Learn how to use the Cognitive Services SDKs with these samples
Learn how to use the Bing Search Java SDK with these samples
This sample demonstrates how to use the bing search api using the azure-cognitiveservices-search package in node.js.
Learn how to use the Cognitive Services Python SDK with these samples
A starter template for Conventional Commits
A simple Web API implementation of Custom Manifest for Adaptive Media Streaming
The repository for high quality TypeScript type definitions.
Deploy Azure Media Services account thruough Azure Resource Manager REST API
DRM License Services implemented on Azure Functions
Shell script command wrapper for cURL to enable enhanced debug headers.
EdgeWorkers Examples – This repository contains practical examples, that can be used as a starting point for Akamai EdgeWorkers.
A template git repository for Flutter Monorepo project.
A template repository for Flutter project.
Source and Scripts for building librtmp libraries for Apple OS; librtmp source files were forked from ffmpeg git - http://git.ffmpeg.org/rtmpdump)
Auth0's signin solution
Sample Azure Functions for use with Azure Media Services. Ingest from Azure Blobs, encode and output to Azure Blobs, monitor encoding progress, and use WebHooks or Queues to hook into the workflow.
Azure Media Services sample command-line tool for applying dynamic encryption for Multi-DRM support, Smooth Streaming+PlayReady, MPEG-DASH+PlayReady, MPEG-DASH+Widevine, HLS+FairPlay.
An Azure Media Player Plugin that shows face image areas in the video frames detected by Face Detection processor (or Face Redactor processor [Analyze mode]) and Face Emotion Detection processor (with per-face emotion detection mode) of Azure Media Analytics
This project contains advanced VOD media workflow examples of using Azure Functions v2 with Azure Media Services v3. The project includes several folders of sample Azure Functions for use with Azure Media Services that show workflows related to ingesting content directly from blob storage, encoding, and writing content back to blob storage.
A hands-on sample for Azure Media Services REST API v3