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AWS to Debut Solutions for Smarter, Faster, and More Efficient Video at 2018 NAB Show

AWS to Debut Solutions for Smarter, Faster, and More Efficient Video at 2018 NAB Show

Innovations in video quality, media format support, and integration with machine learning services deliver efficiency, agility, and cost savings for video creation and distribution

Portland, Ore. – April 5, 2017 – Amazon Web Services, Inc. (AWS), an company, today announced plans to demonstrate new video processing and delivery technologies at the 2018 NAB Show in Las Vegas, Nevada, April 9 through 12. AWS unveils its newest solutions at the Las Vegas Convention Center (LVCC) in booth SU2202, as well as in several partners’ booths. The latest innovations from AWS are designed to give media and entertainment companies, enterprises, start-ups, and government agencies the ability to deliver video faster and more efficiently, build intelligent video applications enhanced by machine learning, and extend the reach of their video content.

“Content providers are looking to video infrastructure to increase agility, reduce costs, and facilitate innovation for their video operations,” said Keith Wymbs, Chief Marketing Officer, AWS Elemental. “As more providers turn to software-driven solutions and cloud services, they gain new tools to make their video workflows smarter, flexible, and more automated, so they can focus on the critical work of building and monetizing their content. We look forward to sharing solutions and insights that help unlock the full potential of video businesses at NAB 2018.”

Improving Cost Efficiency While Increasing Video Quality

AWS will showcase solutions designed to advance the quality of streaming video, while at the same time reducing the network bandwidth and storage capacity required to deliver outstanding viewing experiences. Demonstrations include:

  • Quality-Defined Variable Bitrate Control – AWS will debut Quality-Defined Variable Bitrate (QVBR) control at NAB 2018. QVBR is a video compression technique that automatically adjusts to the complexity of source content, maintaining high-quality video while reducing storage and distribution costs. In this demonstration, an AWS Elemental Live encoder will process HD inputs for live streaming while adapting in real time to meet user-specified requirements for video quality;
  • CMAF for OTT Distribution – Support for the Common Media Application Format (CMAF) lets customers realize video quality improvements, increase compression efficiency, and benefit from simplification of content creation and storage. Demonstrations incorporate live video processing, on-premises and in the cloud, using AWS Elemental Delta and AWS Elemental MediaPackage to generate CMAF-compatible fMP4 HLS outputs;
  • High Dynamic Range – Conversion of any combination of HLG, HDR10, and SDR sources for playout as HDR10 and HLG channels at any resolution enables broadcasters to quickly and cost-effectively bring HDR channels to market with a mix of existing SDR and HDR content. In addition, support for HD HDR content encoding and distribution to tablets and smart TVs enables content providers to simplify delivery of HDR content using existing infrastructure.

Building Intelligent Video Workflows

Machine learning services from AWS help video providers enhance workflows with automated capabilities that improve viewer engagement, increase the efficiency of time-intensive workloads, and unlock additional revenues. Demonstrations include:

  • Content-Aware Advertising Insertion – Using image, object, and scene detection, AWS services enable advertising tailored to broadcast content for cost-effective monetization of live or on-demand video. Amazon CloudFront, Amazon Rekognition, AWS Elemental MediaPackage, and AWS Elemental MediaTailor support comprehensive ad supported video workflows;
  • Automated Metadata Extraction and Analysis – Cloud-based approaches to unlocking the value of content libraries integrates machine learning and analytics services to automatically extract metadata from live or on-demand video streams with a combination of Amazon Transcribe, AWS Elemental MediaConvert, AWS Elemental MediaLive, AWS Elemental MediaPackage, Amazon Rekognition, and Amazon Kinesis Video Streams;
  • Automated Transcription and Translation – Machine learning tools, including Amazon Transcribe, Amazon Translate, AWS Lambda, along with AWS Elemental MediaLive, AWS Elemental MediaPackage, and Amazon CloudFront video services, comprise an intelligent workflow that performs automated speech transcription from video clips and translation of those clips into multiple languages;
  • Advanced Sports Graphics Creation – Highlighting the use of Amazon Rekognition and AWS Media Services to enable the automatic creation of on-screen graphics for live sports without user intervention and showcasing the automation of live production services.

Extending Video Processing and Delivery Worldwide

AWS offers a broad range of on-premises solutions and cloud services designed to meet the requirements of video providers throughout the world. Demonstrations include:

  • Robust Ingest to the Cloud – An AWS Elemental Live L000 Series small form factor appliance ingests live video to AWS Elemental MediaStore, showcasing simple-to-use, cost-efficient contribution to the cloud for low-power, space-constrained, or remote facilities. Additionally, AWS Elemental Live support for JPEG 2000 over TR-01 input provides a high-quality contribution input to the cloud for live broadcast distribution.
  • Low-latency Live Streaming – AWS Elemental Live, AWS Elemental MediaStore and Amazon CloudFront processing, origin, and delivery services provide faster-than-broadcast live streaming video workflows using standard HLS or DASH protocols;
  • Over-the-Top Delivery to Popular Platforms – AWS Elemental MediaLive creates RTMP and RTMPS outputs for secure and reliable OTT delivery of live channel content from the cloud to popular social media platforms like YouTube or Facebook;
  • Amazon EC2 Spot Instances and Thinkbox Deadline 10 - A rendering administration and compute management toolkit, Thinkbox Deadline helps manage workloads on-premises or in the cloud, resulting in extreme scalability as well as cost-optimization using Amazon EC2 Spot Instances, and includes support for over 80 different content creation applications as well as easy license management for third-party software.

Highlighting Advanced Video Workflows at NAB

AWS will participate in two panel sessions during the conference. Usman Shakeel, Worldwide Tech Lead for Media and Entertainment, will present April 10, 9:00 a.m. to 9:25 a.m., as part of Machine Intelligence: The Evolution of Content Production Aided by Machine Learning, a half-day series on machine learning, deep learning and artificial intelligence technologies in North Hall Room N257. Ben Masek, Head of Worldwide Business Development, Media and Entertainment, will join fellow industry leaders on April 11 from 9:00 a.m. to 10:00 a.m. as a panelist on NABLive, the official broadcast of NAB, to discuss cloud and media workflows.

At 11:00 a.m. on April 11, AWS, NASA Jet Propulsion Laboratory, and NAB will present Race on the Red Planet: Chasing our Creative Future With Curiosity and Opportunity, a keynote session that offers NAB attendees and viewers online a front-row seat for demonstrations and discussions of the latest cloud-based media workflows and advanced machine learning technologies that will deliver next-level, immersive viewing experiences. As part of the session, futurist Marco Tempest, will give audiences a peek into the role video and machine learning will play on Earth and in the journey to Mars.

In addition, the A.I. Experiential Zone, hosted by NAB and produced by AWS, will let 2018 NAB Show attendees see firsthand how machine learning is transforming the media and entertainment industry. Located in the Central Lobby adjacent to the M.E.T. 360 Studio featuring NAB Show LIVE, this dynamic, educational showcase will feature real-world applications and content workflows for automatic speech recognition, natural language processing (NLP), text-to-speech applications, deep learning-based image and video analysis, and more, powered by AWS machine learning services.

4K 4Charity Fun Run

An NAB Show tradition in its fourth year, the 4K 4Charity Fun Run brings the industry together to celebrate its achievements and raise awareness and funding for non-profit organizations. This year’s event will devote funds to Girls Who Code, a national non-profit organization working to close the gender gap in technology and change the image of what a programmer looks like and does, and FIRST Nevada, a local non-profit that inspires young people through mentor-based programs that build science, engineering, and technology skills. The NAB Show 2018 Fun Run begins at 7:30 a.m. on Tuesday, April 10 at Sunset Park in Las Vegas. To register, visit