Amazon Technologies, Inc.

Arris Group, Inc.

Darin J Klaas

Kevin Moore

Brian J Rundle

Matthew Rives Vegas

Akhil Ramachandran

Andrew D Henroid

Robert C Duzett

Olaf Nielsen

Evan Gerald Statton

Steven R Page

Sydney D Lovely

Benjamin Ferrentino

Joshua Ryan Melander

Matt Rives Vegas

Fritz Koenig

John Richardson

Ryan Paul Hegar

Gregory Kenneth Truax

Eric Woodruff

Brian Enigma

Sai Rahul Kasula

David William Cardwell

Karthik Bangalore Shamsunder

Systems and methods in provide approaches for channel fitting to determine a particular number of resources, such as cores, that may be used for one or more processing jobs for a particular input channel. A given channel may be evaluated to determine performance affecting parameters and those parameters may be evaluated against previously known hardware configurations or against a historical heuristic dataset. A configuration for the channel may be selected where particular cores of a set of resources are assigned to the channel to perform one or more operations, such as transcoding operations. As a result, empirically determined or historical data may be used to efficiently allocate resources for different transcoding operations to provide both predictable performance and high utilization.

Channel fitting for media processing

The transcoding of a contribution feed into a plurality of output feeds in various formats can be monitored to ensure that unnecessary data is not transmitted in the contribution feed. Each output feed can be transcoded using respective values for a set of video format parameters. These values can be aggregated and analyzed to determine the lowest values for individual parameters that are being used for the various output feeds. A video encoder for the contribution feed can then dynamically modify the video format parameters used to encode the contribution feed in order to avoid encoding and transmitting data that is not actually used for these output streams, which can conserve resources such as network bandwidth, or enable those resources to be used more advantageously to send data that will actually result in higher quality video presentation in the output formats for current limitations or conditions.

Dynamic encoding parameter adjustment

Techniques for on-demand issuance of private keys for encrypted video transmission are described. A video processing service of a provider network receives a request from a computing device outside the provider network to begin video processing of video data generated by a video source device outside the provider network. The video processing service sends instructions to a video encoding device associated with the video source device to establish the connection for video transmission. The video processing service sends an encryption key to the video encoding device, and sends a decryption key to a video decryption engine. Subsequently, the video processing service receives video data from the video source device, via the video encoding device.

Video encoding device for use with on-demand issuance private keys

On-demand issuance private keys for encrypted video transmission

Techniques are described enabling users to transfer the association of a cloud-managed video encoding or decoding device from one region of a cloud provider network to another. A video processing service of a cloud provider network enables users to purchase video encoding or decoding devices that can be used to encode and reliably transfer video content to the video processing service from locations of the users' choice. The video processing service receives a request to transfer the association of a video encoding or decoding device from one region of the cloud provider to another and the video processing service executes workflows that enable the association of a video encoding or decoding device to be transferred to one region from another.

Transferring video encoding or decoding devices across regions of a cloud provider network

Content-specific archive files can be generated concurrently with the encoding of an output stream, such as for broadcast content. Tags or triggers, such as SCTE-35 messages, can be detected in the input content stream, and those triggers used to determine actions to be taken with respect to the content stream. As an example, program start tags and end tags can be used to determine when to begin, and end, the archiving of content to an output file specific to that program content. For archives that should not include advertising, secondary content, or any non-program content, triggers such as advertising start and stop tags can be used to determine when to pause and resume recording for those archives. Once completed, these archive files can be made accessible to users, such as through a video-on-demand service or other such offering.

Dynamic archiving of streaming content

A media server comprises a plurality of nodes each comprising a gateway, each gateway providing memory and communication of data between mass storage and I/O ports of a node, and/or providing communication of data between the node and other nodes. Each node utilizes one or more central processors. The media server comprises logic to enable the processors to manage the streaming of data from the mass storage to the I/O ports via the gateways without communicating the data between the processors and any of the mass storage, I/O ports, or gateways.

Media stream distribution system

Growing community of inventors

Beaverton, OR, United States of America

Darin J Klaas