I'm working on an app for on-demand HTTP Live video streaming using Amazon AWS. I was able to set up Amazon's default video-on-demand HLS workflow using the link below (i.e. video is uploaded, auto-encoded and stored in a different bucket with a unique ID). I'm trying to find a way to automatically group videos by category (in DynamoDB or another database) when I upload them. Has anyone done something similar before? Do I need to use a Lambda function?
https://docs.aws.amazon.com/solutions/latest/video-on-demand/appendix-a.html
FYI - in case anyone else is looking for a way to do this. You can upload your video to AWS and use a javascript lambda function to automatically categorize them in a nosql database
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I am new to AWS. Most of example I have seen need an input file name from S3 bucket for media convert. I want to automate this process. What is the best way to do it. I want to achieve following.
API to upload a video(mp4) to a S3 bucket.
Trigger MediaConvert Job to process newly updated video and convert it to HLS.
I know how to create an API as well as MediaConvert job. What I need help with it is automating this workflow. How can I pass recently uploaded video to MediaConvert job dynamically?
I think this should actually cover what you're looking for, and is straight from the source:
https://aws.amazon.com/blogs/media/vod-automation-part-1-create-a-serverless-watchfolder-workflow-using-aws-elemental-mediaconvert/
Essentially, you'll be making use of AWS Lambda, a serverless code execution product. Lambda functions by allowing you to hook directly into "triggers" or events from within the AWS ecosystem (like uploading a file to S3).
The lambda can then execute code in a number of supported languages like Javascript or Python, which can be used to execute a MediaConvert job on the triggering object (the file uploaded to S3).
I'm using the Agora SDK & RestAPI to recording life streams and upload them on AWS S3, the sdk comes with snapshoting feature that's Im planning to use for stream thumbnails.
Both Cloud Recording and Snapshot Recording are integrated with my app and works perfectly,
the Remaining problem is that the snapshots are named down to the microseconds
Agora snapshot services image file naming
From my overview, The services works as follow, Mobile App sends data to my Server, My server make requests to the Agora API so It joins the Life Stream channel and starts snapshoting and saving the images to AWS, so I suppose it's impossible to have time synchronization between AWS, AgoraRestAPI, my Server & my mobile app.
I've gone through their docs and I can't find anything about retrieving the file names.
I was thinking maybe I can have a Lambda Function that retrieves the last added file on a given bucket/folder? but due to my lack of knowledge on AWS and Lambda functions I don't know how's that or if it's possible.
any suggestions would be appreciated
I want to extract one frame or screenshot of a video stored in s3 at specific time, what can i use to make it ?
Lambda functions
Using the SDK
Amazon Elastic Transcoder has the ability to create videos from sources files. For example, it can stitch together multiple videos, or extract a portion of video(s).
Elastic Transcoder also has the ability to generate thumbnails of videos that it is processing.
Thus, you should be able to:
Create a job in Elastic Transcoder to create a very short-duration video from the desired time in the source video
Configure it to output a thumbnail of the new video to Amazon S3
You can then dispose of the video (configure S3 to delete it after a day) and just use the thumbnail.
Please note that Elastic Transcoder works asynchronously, so you would create a Job to trigger the above activities, then come back later to retrieve the results.
The benefit of the above method is that there is no need to download or process the video file on your own Amazon EC2 instance. It is all done within Elastic Transcoder.
The AWS SDK does not have an API that extracts pictures from a video. You can use AWS to analyze videos - such as the Amazon Rekognition service. For example:
Creating AWS video analyzer applications using the AWS SDK for Java
You can use the Amazon Rekognition to detect faces, objects, and text in videos. For example, this example detects text in a video:
https://github.com/awsdocs/aws-doc-sdk-examples/blob/master/javav2/example_code/rekognition/src/main/java/com/example/rekognition/VideoDetectText.java
The Amazon S3 API has many operations, but extracting a pic from a video is not one of them. You can get an inputstream of an object located in a bucket.
To extract a pic from a video, you would need to use a 3rd party API.
I have an application which streams video like(NetFlix, Youtube).
I am trying to host it in the AWS platform. I have found two different options with this:
first one is store video files in s3.
the second one is store video files in AWS MediaStore.
In my existing platform, I have a problem with downloading video through IDM by end users.
So, I have to prevent downloading the video from IDM.
How can I do this in the AWS platform? Which AWS service will suit my case of preventing downloading?
Please take note of data-out charge when you use AWS as the primary mean to serve your video streams. Personally I found It prohibitively expensive to use AWS's service to serve your video
Netflix for example use S3 as a part of main storage for their video streams.
To the question of which service you can use to hide direct link / download link from AWS. Currently there is no service provided natively by AWS for that purpose
Im developing a mobile app that will use AWS for its backend services. In the app I need to upload video files to S3 on a frequent basis, and I'm wondering what the recommended architecture would look like to make this scalable and efficient. Traffic could be high, and file sizes could be large.
-On one hand, I could upload directly to S3 using the S3 API on the client side. This would be the easiest option, but Im not sure of the negative implications associated with it.
-The other way to do it would be to go through an EC2 instance and handle the request using some PHP scripts and upload from there.
So my question is... Are these two options equal, or are there major drawbacks to one of them opposed to another? I will already have EC2 instances configured for database access if that makes any difference in how you approach the question.
I will recommend using "upload directly to S3 using the S3 API on the client side" as you can speed up the upload process by using AWS S3 part upload as your video files are going to large.
The second method will put extra CPU usage load on your EC2 instance as the script processing and upload to S3 will utilize CPU for the process.