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BBC Media & AI
Large Enterprise Use Case
Luka Murn, Graduate R&D Engineer
11 April 2019
EOSC-hub Week 2019 | Prague
Contents
Introduction
BBC R&D
Video Compression
Use Case for High Performance Computing
BBC Media & AI
Introduction
BBC Media & AI
British Broadcasting Corporation
• Oldest and largest national
broadcaster in the world, established
in 1922 with over 20,000 staff
• 96% of UK adults use BBC TV, radio
or online each week
• 300 million requests for iPlayer,
Internet streaming catch-up TV, each
month
• BBC Archives is one of the largest
broadcast archives in the world with
over 12 million items
BBC Media & AI
BBC R&D
BBC Media & AI
BBC Research & Development
• At the forefront of developments in
broadcast technology, from colour TV to
High Definition TV
• 200+ highly specialist research
engineers, scientists, designers and
producers
• Work on every aspect of the broadcast
chain – Audiences, Production,
Distribution, Programmes
• Participate in many successful EC-
funded projects and contribute to the
setting of international standardsBBC Media & AI
Our Vision of the Future
• A new broadcasting system
with storytelling and IP at
its core
• Mass audience mobile
services enabled by 4G &
5G broadcasting
• Content tailored for
individual’s circumstances,
preferences and devices
BBC Media & AI
Enabling Technologies
• Ultra High Definition TV
(UHDTV) format will enhance
users’ quality of experience
o Spatial resolutions
3840×2160 (4K) and
7680x4320 (8K)
o Frame rate up to 120 fps,
extended colour gamut and
bit depth up to 12 bits per
pixel
BBC Media & AI
UHD
HD
SD
Enabling Technologies
• 4K UHD TV shipments exceeded
100m units, an increase by 32% in
2018
• 4K UHD TV market will continue
to grow at a double-digit
compound annual growth rate
(CAGR) throughout its forecasting
period to 20221
• BBC delivered FIFA World Cup
2018, Wimbledon 2018 and the
Royal Wedding in UHD HDR
BBC Media & AI
1Source: Futuresource, 2018
Enabling Technologies
• Distribution of high
resolution video content to
a large number of users
requires transmission of
extremely large amounts of
data
• Only made possible by the
application of video codecs
that reduce the size of
content sufficiently to be
stored and distributed on a
mass scale.
BBC Media & AI
Video
Compression
BBC Media & AI
Video compression standards
• H.265 / HEVC – High Efficiency Video Coding
o Current state-of-the-art ITU-T / MPEG standard for video compression.
o Targets all previous applications (low resolution) right up to UHD
• AV1 – AOMedia Video 1
o Developed by the Alliance for Open Media (AOMedia).
o Aims to provide a royalty-free video coding specification
• VVC – Versatile Video Coding
o Since April 2018 - standard under development by ITU-T/MPEG (beyond
HEVC).
o The goal is to reduce the bitrate by 50% compared to HEVC
BBC Media & AI
Joint Video Experts Team (JVET)
• Founded in April 2015
• Tasked with developing a
new video coding standard -
VVC
• Contributors:
BBC Media & AI
0
100
200
300
400
500
600
700
800
900
1000
OCT-15
FEB-16
MAY-16
OCT-16
JAN-17
MAR-17
JUL-17
OCT-17
JAN-18
APR-18
JUL-18
OCT-18
JAN-19
MAR-19
Numberofcontributions
VVC Development
Versatile Video Coding
• Performance results
o Subjective evaluation on a
UHD sequence
o RD curves used for
comparison (PSNR and
Mean Opinion Score - MOS).
• HM – HEVC test model
• JEM – experimental software,
basis for VVC
BBC Media & AI
0
1
2
3
4
5
6
7
8
9
10
0 20 40 60
MOS
Bit-rate [Mbps]
Manege, 3840x2160, 60 Hz
HM
JEM
AV1
“An Overview of Recent Video Coding Developments in MPEG
and AOMEDIA” in Proc. IBC 2018, Sept. 2018.
(DOI: 10.5281/zenodo.1494930)
BBC R&D’s Video Coding team
• Contributes to
development of both
HEVC and VVC
standards
• Performs core
fundamental
research, looking at
new ways of
performing
compression based
on Artificial
Intelligence and
content analytics
BBC Media & AI
Media & AI
Video Coding
Standardisation
BBC R&D
Video Compression Research
COGNITUS H2020
• End-to-end platform to
aggregate User Generated
Content (UGC) during
events, enhance to Ultra-
High Definition (UHD)
quality and provide
semantic enrichment to
facilitate the smooth
integration in broadcast
productions
• http://cognitus-h2020.eu/
BBC Media & AI
JOLT H2020
• Harnessing digital and
data technology for
journalism
• Optimization of quality of
delivered video
• Advances in ML
application to large video
content databases
• http://joltetn.eu/
BBC Media & AI
Use Case for
High Performance
Computing
BBC Media & AI
Compression vs. Complexity
• Raw RGB video, 10 bits per pixel, 2160p60 = 14.93
Gb/s
• Highest average broadband speed in Europe
(2017/18) = 46 Mbit/s (Sweden)1
• Fast implementation can drastically compromise
the compression efficiency
• Advances in ML/AI open numerous new ways to
improve compression further
BBC Media & AI 1Source: Cable.co.uk and M-Lab, 2018
CPU Resources
• Video coding is a
CPU-intense process,
parallelizing processes
is a must
• Longest encoding run
time of 1 test point =
4.8 days
• Encoding run time of
all test points = 288.8
days
BBC Media & AI
GPU Resources
• Machine learning algorithms see increased use in broadcast
scenarios (video content adaptation, enhancement, production,
quality evaluation, delivery)
• Training 1 shallow neural network with a UHD sequence on 1
consumer GPU = 0.5 days
• Training 1 deep neural network with a UHD sequence on 1
consumer GPU = 0.8 days
• ML is heuristics-based = need for multiple network configuration
testing
BBC Media & AI
Our reasons for involvement
• A requirement to create a new broadcasting infrastructure
o Need for a flexible, transparent, provider-independent, auto-
scalable solution, deployed over either private or public
infrastructures
• Dynamic inspection and setup change based on
performance
• Scalability testing
o Large size of digital media libraries makes it very important to
provide guidance as to the level of resources needed
BBC Media & AI
Thank you
www.bbc.co.uk/rd
Email: luka.murn@bbc.co.uk
Twitter: @BBCRD
BBC Media & AI

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BBC Research & Development use case for EOSC-DIH

  • 1. BBC Media & AI Large Enterprise Use Case Luka Murn, Graduate R&D Engineer 11 April 2019 EOSC-hub Week 2019 | Prague
  • 2. Contents Introduction BBC R&D Video Compression Use Case for High Performance Computing BBC Media & AI
  • 4. British Broadcasting Corporation • Oldest and largest national broadcaster in the world, established in 1922 with over 20,000 staff • 96% of UK adults use BBC TV, radio or online each week • 300 million requests for iPlayer, Internet streaming catch-up TV, each month • BBC Archives is one of the largest broadcast archives in the world with over 12 million items BBC Media & AI
  • 6. BBC Research & Development • At the forefront of developments in broadcast technology, from colour TV to High Definition TV • 200+ highly specialist research engineers, scientists, designers and producers • Work on every aspect of the broadcast chain – Audiences, Production, Distribution, Programmes • Participate in many successful EC- funded projects and contribute to the setting of international standardsBBC Media & AI
  • 7. Our Vision of the Future • A new broadcasting system with storytelling and IP at its core • Mass audience mobile services enabled by 4G & 5G broadcasting • Content tailored for individual’s circumstances, preferences and devices BBC Media & AI
  • 8. Enabling Technologies • Ultra High Definition TV (UHDTV) format will enhance users’ quality of experience o Spatial resolutions 3840×2160 (4K) and 7680x4320 (8K) o Frame rate up to 120 fps, extended colour gamut and bit depth up to 12 bits per pixel BBC Media & AI UHD HD SD
  • 9. Enabling Technologies • 4K UHD TV shipments exceeded 100m units, an increase by 32% in 2018 • 4K UHD TV market will continue to grow at a double-digit compound annual growth rate (CAGR) throughout its forecasting period to 20221 • BBC delivered FIFA World Cup 2018, Wimbledon 2018 and the Royal Wedding in UHD HDR BBC Media & AI 1Source: Futuresource, 2018
  • 10. Enabling Technologies • Distribution of high resolution video content to a large number of users requires transmission of extremely large amounts of data • Only made possible by the application of video codecs that reduce the size of content sufficiently to be stored and distributed on a mass scale. BBC Media & AI
  • 12. Video compression standards • H.265 / HEVC – High Efficiency Video Coding o Current state-of-the-art ITU-T / MPEG standard for video compression. o Targets all previous applications (low resolution) right up to UHD • AV1 – AOMedia Video 1 o Developed by the Alliance for Open Media (AOMedia). o Aims to provide a royalty-free video coding specification • VVC – Versatile Video Coding o Since April 2018 - standard under development by ITU-T/MPEG (beyond HEVC). o The goal is to reduce the bitrate by 50% compared to HEVC BBC Media & AI
  • 13. Joint Video Experts Team (JVET) • Founded in April 2015 • Tasked with developing a new video coding standard - VVC • Contributors: BBC Media & AI 0 100 200 300 400 500 600 700 800 900 1000 OCT-15 FEB-16 MAY-16 OCT-16 JAN-17 MAR-17 JUL-17 OCT-17 JAN-18 APR-18 JUL-18 OCT-18 JAN-19 MAR-19 Numberofcontributions VVC Development
  • 14. Versatile Video Coding • Performance results o Subjective evaluation on a UHD sequence o RD curves used for comparison (PSNR and Mean Opinion Score - MOS). • HM – HEVC test model • JEM – experimental software, basis for VVC BBC Media & AI 0 1 2 3 4 5 6 7 8 9 10 0 20 40 60 MOS Bit-rate [Mbps] Manege, 3840x2160, 60 Hz HM JEM AV1 “An Overview of Recent Video Coding Developments in MPEG and AOMEDIA” in Proc. IBC 2018, Sept. 2018. (DOI: 10.5281/zenodo.1494930)
  • 15. BBC R&D’s Video Coding team • Contributes to development of both HEVC and VVC standards • Performs core fundamental research, looking at new ways of performing compression based on Artificial Intelligence and content analytics BBC Media & AI Media & AI Video Coding Standardisation BBC R&D Video Compression Research
  • 16. COGNITUS H2020 • End-to-end platform to aggregate User Generated Content (UGC) during events, enhance to Ultra- High Definition (UHD) quality and provide semantic enrichment to facilitate the smooth integration in broadcast productions • http://cognitus-h2020.eu/ BBC Media & AI
  • 17. JOLT H2020 • Harnessing digital and data technology for journalism • Optimization of quality of delivered video • Advances in ML application to large video content databases • http://joltetn.eu/ BBC Media & AI
  • 18. Use Case for High Performance Computing BBC Media & AI
  • 19. Compression vs. Complexity • Raw RGB video, 10 bits per pixel, 2160p60 = 14.93 Gb/s • Highest average broadband speed in Europe (2017/18) = 46 Mbit/s (Sweden)1 • Fast implementation can drastically compromise the compression efficiency • Advances in ML/AI open numerous new ways to improve compression further BBC Media & AI 1Source: Cable.co.uk and M-Lab, 2018
  • 20. CPU Resources • Video coding is a CPU-intense process, parallelizing processes is a must • Longest encoding run time of 1 test point = 4.8 days • Encoding run time of all test points = 288.8 days BBC Media & AI
  • 21. GPU Resources • Machine learning algorithms see increased use in broadcast scenarios (video content adaptation, enhancement, production, quality evaluation, delivery) • Training 1 shallow neural network with a UHD sequence on 1 consumer GPU = 0.5 days • Training 1 deep neural network with a UHD sequence on 1 consumer GPU = 0.8 days • ML is heuristics-based = need for multiple network configuration testing BBC Media & AI
  • 22. Our reasons for involvement • A requirement to create a new broadcasting infrastructure o Need for a flexible, transparent, provider-independent, auto- scalable solution, deployed over either private or public infrastructures • Dynamic inspection and setup change based on performance • Scalability testing o Large size of digital media libraries makes it very important to provide guidance as to the level of resources needed BBC Media & AI