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Automated Video Editing with YOU as the Star!

3 セットアップ · 45 アクセス時間 · 30 完了
Connection Details

注意: このラボで使用している AWS リソースには、受講中のハンズオンラボ、またはQwiklab™に関連しないデータは一切送信しないでください

8クレジット

info_outline
This lab costs 8クレジット to run. You can purchase credits or a subscription under My Account.

00:45:00

Automated Video Editing with YOU as the Star!

SPL-202 - Version 1.0

© 2018 Amazon Web Services, Inc. and its affiliates. All rights reserved. This work may not be reproduced or redistributed, in whole or in part, without prior written permission from Amazon Web Services, Inc. Commercial copying, lending, or selling is prohibited.

Errors or corrections? Email us at aws-course-feedback@amazon.com.

Other questions? Contact us at https://aws.amazon.com/contact-us/aws-training/

Overview

Have you ever wanted to find a specific person among hours of video footage?

Perhaps you're preparing a video for a 21st birthday celebration, wanting to find happy memories of your birthday child. Maybe you are scouring video footage, looking to see what a specific employee did on their last day at work. Or it may be that you want to produce a highlight reel of your own efforts at the Nathan’s Hot Dog Eating Contest.

In this lab, you will learn how to combine the capabilities of Amazon Rekognition Video and Amazon Elastic Transcoder to automatically convert a long video into a highlight video showing all footage of a given person.

This lab uses the AWS Command-Line Interface (CLI) to access Amazon Rekognition Video and then uses a Python script that uses the AWS SDK to access Amazon Elastic Transcoder.

Topics covered

By the end of this lab, you will be able to:

  • Create a face collection in Amazon Rekognition, teaching it the people that should be recognized
  • Use Amazon Rekognition Video to search for faces in a saved video file
  • Collect the individual timestamps where faces were recognized and convert them into clips of defined duration
  • Stitch together a new video using Amazon Elastic Transcoder

Start Lab

Notice the lab properties below the lab title:

  • setup - The estimated time to set up the lab environment.
  • access - The time the lab will run before automatically shutting down.
  • completion - The estimated time the lab should take to complete.
  1. Click START LAB to launch your lab. If you are prompted for a token, use the one distributed to you (or credits you've purchased).

    A status bar shows the progress of the lab environment creation process (the AWS Management Console is accessible during lab resource creation, but your AWS resources may not be fully available until the process is complete).

  2. Click OPEN CONSOLE, which will automatically log you in to the AWS Console.

Please do not change the Region unless instructed.

Common login errors

Error : Federated login credentials

If you see this message:

  • Close the browser tab to return to your initial lab window
  • Wait a few seconds
  • Click Open Console again

You should now be able to access the AWS Management Console.

Error: You must first log out

If you see this message:

  • Click To logout, click here
  • Close the browser tab to return to your initial Qwiklabs window
  • Click Open Console again

Join Qwiklabs to Read the Rest of this Lab...and More!

  • Get temporary access to the Google Cloud Console.
  • Nearly 100 labs from beginner to advanced levels.
  • Bite-sized so you can learn at your own pace.
Join to Start This Lab
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