Amazon Kinesis Video Streams | Key concepts Flashcards
What does Amazon Kinesis Video Streams manage on my behalf?
Key concepts
Amazon Kinesis Video Streams | Media Services
Amazon Kinesis Video Streams is a fully managed video ingestion and storage service. It enables you to securely ingest, process, and store video at any scale for applications that power robots, smart cities, industrial automation, security monitoring, machine learning (ML), and more. Kinesis Video Streams also ingests other kinds of time-encoded data like audio, RADAR, and LIDAR signals. Kinesis Video Streams provides you SDKs to install on your devices to make it easy to securely stream video to AWS. Kinesis Video Streams automatically provisions and elastically scales all the infrastructure needed to ingest video streams from millions of devices. It also durably stores, encrypts, and indexes the video streams and provides easy-to-use APIs so that applications can access and retrieve indexed video fragments based on tags and timestamps. Kinesis Video Streams provides a library to integrate ML frameworks such as Apache MxNet, TensorFlow, and OpenCV with video streams to build machine learning applications. Kinesis Video Streams is integrated with Amazon Rekognition Video, enabling you to build computer vision applications that detect objects, events, and people.
What is a video stream?
Key concepts
Amazon Kinesis Video Streams | Media Services
A video stream is a resource that enables you to capture live video and other time-encoded data, optionally store it, and make the data available for consumption both in real time and on a batch or ad-hoc basis. When you choose to store data in the video stream, Kinesis Video Streams will encrypt the data, and generate a time-based index on the stored data. In a typical configuration, a Kinesis video stream has only one producer publishing data into it. The Kinesis video stream can have multiple consuming applications processing the contents of the video stream.
What is a fragment?
Key concepts
Amazon Kinesis Video Streams | Media Services
A fragment is a self-contained sequence of frames. The frames belonging to a fragment should have no dependency on any frames from other fragments. As fragments arrive, Kinesis Video Streams assigns a unique fragment number, in increasing order. It also stores producer-side and server-side time stamps for each fragment, as Kinesis Video Streams-specific metadata.
What is a producer?
Key concepts
Amazon Kinesis Video Streams | Media Services
A producer is a general term used to refer to a device or source that puts data into a Kinesis video stream. A producer can be any video-generating device, such as a security camera, a body-worn camera, a smartphone camera, or a dashboard camera. A producer can also send non-video time-encoded data, such as audio feeds, images, or RADAR data. One producer can generate one or more video streams. For example, a video camera can push video data to one Kinesis video stream and audio data to another.
What is a consumer?
Key concepts
Amazon Kinesis Video Streams | Media Services
Consumers are your custom applications that consume and process data in Kinesis video streams in real time, or after the data is durably stored and time-indexed when low latency processing is not required. You can create these consumer applications to run on Amazon EC2 instances. You can also use other Amazon AI services such as Amazon Rekognition, or third party video analytics providers to process your video streams.
What is a chunk?
Key concepts
Amazon Kinesis Video Streams | Media Services
Upon receiving the data from a producer, Kinesis Video Streams stores incoming media data as chunks. Each chunk consists of the actual media fragment, a copy of media metadata sent by the producer, and the Kinesis Video Streams-specific metadata such as the fragment number, and server-side and producer-side timestamps. When a consumer requests media data through the GetMedia API operation, Kinesis Video Streams returns a stream of chunks, starting with the fragment number that you specify in the request.
