1. AI-Enhanced Live Streaming Transcoding with AWS MediaLive


    To set up AI-enhanced live streaming transcoding with AWS MediaLive, you will generally need to perform the following steps:

    1. Create an AWS MediaLive Input that will receive your live video stream.
    2. Set up an AWS MediaLive Channel that will process and transcode your video stream.
    3. Optionally, set up AWS MediaPackage for content packaging or AWS Elemental MediaConnect for securely sharing your stream.

    In this Pulumi program, we will create the necessary AWS MediaLive resources for live streaming with AI-enhanced transcoding. We will create:

    • An Input that your live feed will send to.
    • A Channel that references the Input and specifies encoder settings for AI features like video quality and audio normalization.
    • Optionally, an InputSecurityGroup to restrict access to your Input.

    The aws.medialive module provides classes for Input, Channel, and InputSecurityGroup. Here is a basic Pulumi program in Python to set up the AWS MediaLive resources:

    import pulumi import pulumi_aws as aws # Create a MediaLive InputSecurityGroup which allows Adjust as necessary. input_security_group = aws.medialive.InputSecurityGroup("inputSecurityGroup", whitelist_rules=[{ "cidr": "" # Be cautious with this setting in production. }] ) # Create a MediaLive Input. The sources come from your live feed (e.g. RTMP, RTP, etc.) # Replace 'my-live-stream' with your stream's name and set up the source accordingly. # Live stream input generally requires ingest server details from MediaLive, handle this accordingly. media_input = aws.medialive.Input("mediaInput", name="my-live-stream", type="RTMP_PUSH", # Adjust the type based on your needs (e.g., HLS, RTP, RTMP, etc.). input_security_groups=[input_security_group.id], # Assuming RTMP_PUSH, the sources and destination configuration would be provided by AWS after the Input creation. # destinations settings will be auto populated by AWS after creation for 'RTMP_PUSH' type. ) # Create a MediaLive Channel. This involves complex encoder settings, which should be tailored to your specific needs. # For AI-enhanced transcoding, you would typically set up input loss behavior, codec settings, etc. # Below are some skeleton elements of the encoder settings; replace these with the exact settings needed for your stream. media_channel = aws.medialive.Channel("mediaChannel", input_attachments=[{ "input_id": media_input.id, # Reference the input we just created }], input_security_groups=[input_security_group.id], # Example placeholder settings for encoder - replace with actual configuration encoder_settings={ "output_groups": [{ # Configure your output groups (HLS, RTMP, etc.) with the destination and encode settings "name": "my-output-group", "outputs": [{ "output_name": "my-output", # Output settings such as resolution, bitrate, codecs etc., go here. # Consider using AWS Elemental MediaConvert for more advanced codec settings, such as HEVC, AVC, etc. }], "output_group_settings": { # The group settings config also varies based on what protocol your output will use (e.g., HLS, RTMP). } }], # You can define global configurations, video descriptions (encoding settings for video output), audio descriptions, etc. }, log_level="ERROR", # Specify log level, options include DEBUG, INFO, WARN, ERROR, and DISABLED. role_arn= "arn:aws:iam::<account-number>:role/MediaLiveAccessRole", # Replace with your role ARN which has necessary permissions ) # Export the channel ARN and the endpoint URL of the input, which might be required for streaming software to push the feed. pulumi.export("channel_arn", media_channel.arn) pulumi.export("input_endpoint", media_input.endpoints.apply(lambda endpoints: endpoints[0].url if endpoints else ""))

    This program defines the AWS MediaLive components necessary for live streaming. The InputSecurityGroup class creates a security group to control access to your MediaLive inputs. The Input represents the source of your live video content. The actual IP addresses or hostnames for input sources are provided by AWS once the Input resource is created.

    The Channel includes a reference to the Input via attachment and outlines the encoding settings for your content. Within the encoder_settings, you will specify multiple properties that control the video and audio quality, format, and other properties like codecs used for transcoding the live stream.

    These encoder settings are complex and highly dependent on your use case. For AI-enhanced features such as automatic image quality improvement, sound leveling, or content-aware encoding, AWS MediaLive integrates with AWS machine learning services to make automated adjustments to the stream. For full details on configuring encoder settings, refer to the AWS MediaLive documentation.

    After setting up the channel, you can start streaming to the input endpoint, and MediaLive will process the stream based on your configurations. The stream can then be output to various destinations, such as a CDN for distribution.