8th FOKUS Media Web
Symposium

Build video workloads with AWS Media Services

• Encoding: Massively distributed video encoding that runs everywhere. Designed for cloud native workflows that run on any hardware and can be adapted to fit any workflow
• Player: Display premium broadcast quality video, anywhere. Enables customers to deliver a high quality playback experience across Web, Mobile, OTT, Gaming and Smart TV platforms
• Analytics: Control and present your data exactly as you need to, every time. Provides a rich dashboard and data APIs to analyze, troubleshoot and solve your adaptive streaming problems

• Ultra-low latency: Global CDN – go live around the world in 1 second
• Cross-platform: Playback on ALL HTML Browsers including Safari on iOS
• Flexible: Easy to integrate to existing live streaming workflows
• Complete: Power your end-to-end workflow with Live Encoding Add-ons
• Scalable: Easily scales capacity to thousands of viewers all over the world
• Cost-effective: Reduced setup, hardware and maintenance costs
• B2B focus: Perfect for content creators and platform operators
• nanoStream Cloud Analytics & H5Live Metrics: Valuable insights for better QoS 

Cloudncoder:

• CAPTURE: Satellite Downlinking & IP ingest from contribution feeds from broadcasters
• TRANSCODE: SD & HD Transcoding for linear channels, Catchup & DVR
• PACKAGING: HLS, DASH and Multi-DRM integrations (FairPlay, Widevine & Playready)

TV Apps Suite:

• MULTISCREEN: Single codebase to make TV Apps on mobiles, tablets, browses and Smart TVs
• REACT NATIVE: Development resulting in native feel across all screens
• CUSTOM DESIGN: Toolkits to create broadcast-grade UI/UX

Stream Personalization with targeted In-Stream Ads

• Inserts Video Ads into Live-Linear TV and VOD content on server-side
• Transitions buffer-less between content and ads on all devices
• Integrates in streaming workflows and drives ad-revenues
• Creates Linear OTT channels with broadcast TV experience
• Scales for large audiences with analytics in real-time

• Dynamic ad-substitution in linear broadcast based on HbbTV 2.0
• One-to-one targeted ad-delivery for TV
• Delivers a TV-like experience with personalized ads
• Standards based client-side ad tracking and reporting through VAST
• Smart ad breaks and seamless ad-server integration with Google Ad Manager
• Supports DVB stream events and TEMI timeline

• End-to-End solution for Server-Side-Ad-Insertion in HLS and MPEG DASH
• Video on Demand and Live support
• Highly scalable and flexible through manifest manipulation
• Targeting “one-to-one” audiences in OTT services
• Standards based reporting and ad-tracking through VAST and IAB OM SDK
• Client and Server-Side Beaconing
• Cloud native, containerized deployment
• Supports SCTE35 cue marker, ad-slates, ad-podding and dynamic ad-conditioning

• Per-title/Content-aware encoding solution for live and VoD content leveraging machine learning techniques like Decision Trees and Deep Neural Network
• Constant validation and retraining of the machine learning models to improve the accuracy and efficiency of the system
• Calculation of video quality metrics like VMAF, PSNR and SSIM
• Detection of complex metadata like scene changes, object classification and labeling for each video
• Codec agnostic approach, can be applied to H.264, H.265, VP9, AV1 etc.

Supported standards & features:

• MPEG-DASH (ISO/IEC 23009)
• Common Encryption (ISO/IEC 23001-7)
• DASH-IF CPIX (Content Protection Information Exchange Format):
• Interoperable and secure key exchange between entities in a multi-DRM backend
• HLS (RFC 8216)
• CMAF (ISO/IEC 23000-19)
• Metrics/Analytics using SAND: ISO/IEC 23009-5
• Dynamic Ad-Insertion features (multi-period, XLink, Events)

• MPEG-SAND: Server and Network Assisted DASH
• FAMIUM SANDLibrary and SANDServer cover SAND metric reporting and SAND shared resource allocation
• Real-time metric reporting to monitor OTT player performance
• Shared resource allocation allows fair bandwidth sharing of multiple DASH clients competing for bandwidth in the same network (e.g. sports stadium, plane, train, home networks etc.)
• QoE Score is derived from OTT streaming metrics
• ML-enabled prediction of QoE Score

• Test Suite for the CTA WAVE HTML5 specification (WMAS 2018)
• Optimized for Embedded Devices
• Automated Test Runs
• Available as online hosted version: https://webapitests2018.ctawave.org
• Available as open source: https://github.com/cta-wave/WMAS

Automated ABR testing for DASH and HLS media players

The HbbTV Companion Screen API enables a smartphone or tablet to launch HbbTV applications on the TV or to connect to already running applications like HbbTV OpApps

Core Features: 

• Discovery, Launch, Communication, Synchronization, Disconnect
• Android & iOS compatible
• Multiple CS devices can connect to the same TV

• Experience High Quality 360° videos on major TV Platforms (e.g. HbbTV, Android TV), Web, and mobile
• Support of Live and On-demand 360° Video Streaming
• Reduce Bandwidth and Processing by applying Cloud-based prerendering approach
• Efficient Delivery over existing CDNs using DASH and DRM Support over EME

Based on the WordPress CMS, the Multi Platform Application Toolkit enables content creators, especially broadcasters and producers of TV programmes, to easily create cost-efficient, compelling HbbTV apps.

The open-source MPAT core:

• provides a CMS for HbbTV apps
• can build apps from scratch or use reference applications
• is compliant with most Smart TVs
• is available as either hosted (SaaS) or as local installation
• supports selected CMS

Hyper360’s 3D capturing system is designed so as to provide an affordable, economical solution that is easy to set-up and operate by non-expert and non-technical users.

It is a highly portable multi-sensor capturing system built around the latest RGB-D sensor technology.

• Captures full 3D representation
• Supports simultaneous capture with multiple consumer level RGB-D sensors
• Temporal alignment of captured information for multi-view consistency
• Sufficiently high frame-rates to support smooth viewing
• Minimizes actions required to operate the system
• Hides complexity from the final users