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An Artificial Intelligence Enhancing Video Quality Locally to Limit Internet Traffic Tied to Video Streaming

Objective

Video streaming consists in the encoding, transcoding, delivering, decoding & displaying of videos on smartphones, tablets, PCs, smart TVs & consoles. Videos distributed “over-the-top” (OTT) are streamed rather than distributed through traditional networks (broadcast, pay TV) and distributors (cable, satellite).

OTT is a vibrant $25bn market (2016) poised for spectacular growth: by 2025, it will reach $129bn, a 5.2x increase driven by powerhouses like Netflix and YouTube. Habits are changing fast: by 2020, 32% of videos will be consumed OTT (16h/week), vs. 5% in 2000 (2h/week).

Video streaming represents 63% of Internet traffic (2018) and is on the rise, going from 76k petabytes per month in 2018 to 160k in 2021 (x2.1) and driven by a push to 4K that quadruples traffic. While developed countries are challenged to address this surge, half of the World’s population still doesn’t have the Internet and is unlikely to be able to stream content when they get it, reinforcing the “Digital Divide”.

Reducing this burden will lead to a faster, cheaper and more stable Internet. It will slash content delivery costs, which reach millions of dollars a month for media companies. It will result in major savings for Internet providers that invest ~$300bn/year in infrastructure, or give them the opportunity to achieve much more for a similar investment.

Our goal is to decrease video streaming traffic by 80% while retaining video resolution and increasing quality. To do so, Artomatix and THEO will develop ENHANCEplayer, a solution that leverages Deep Learning to automatically increase the resolution and quality of videos on consumer devices. Built on top of THEO’s successful THEOplayer, it will consume the data of, say, a 360p video but display a High Definition one (1080p), effectively saving 84% in traffic. Public broadcasters NPO, RTP & VRT will help Artomatix & THEO define the product specifications, provide them with test videos and test the product once it is developed.

Field of science

  • /natural sciences/computer and information sciences/artificial intelligence
  • /natural sciences/computer and information sciences/internet
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning

Call for proposal

H2020-EIC-FTI-2018-2020
See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

ARTOMATIX LIMITED
Address
17 Nutley Park Donnybrook
DUBLIN 4 Dublin
Ireland
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 1 137 500

Participants (4)

THEO TECHNOLOGIES
Belgium
EU contribution
€ 962 500
Address
Philipssite 5/1
3001 Leuven
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
STICHTING NEDERLANDSE PUBLIEKE OMROEP
Netherlands
EU contribution
€ 100 000
Address
Bart De Graaffweg 2
1217 ZL Hilversum
Activity type
Other
RADIO E TELEVISAO DE PORTUGAL SA
Portugal
EU contribution
€ 100 000
Address
Av Do Marechal Gomes Da Costa 37
1849 030 Lisboa
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
DE VLAAMSE RADIO EN TELEVISIEOMROEPORGANISATIE NV
Belgium
EU contribution
€ 100 000
Address
Auguste Reyerslaan 52
1043 Brussel
Activity type
Other