Opendata, web and dolomites

Content4All SIGNED

Personalised Content Creation for the Deaf Community in a Connected Digital Single Market

Total Cost €


EC-Contrib. €






Project "Content4All" data sheet

The following table provides information about the project.


Organization address
postcode: 6403
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Switzerland [CH]
 Total cost 4˙173˙127 €
 EC max contribution 3˙499˙856 € (84%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2016-2
 Funding Scheme IA
 Starting year 2017
 Duration (year-month-day) from 2017-09-01   to  2020-08-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FINCONS GROUP AG CH (KUSSNACHT) coordinator 659˙312.00
2    UNIVERSITY OF SURREY UK (GUILDFORD) participant 983˙750.00
4    SWISS TXT AG CH (BIEL BIENNE) participant 574˙787.00
6    HFC HUMAN-FACTORS-CONSULT GMBH DE (Berlin) participant 294˙000.00


 Project objective

Improving the accessibility of content for the Deaf community is an important goal for both EU governments and broadcast industry regulators. Although legislation is being used to coerce content producers and broadcasters to do so, the cost of producing sign-language content and the negative impact of having a sign-interpreter appearing on the content for hearing individuals has relegated sign-language programming to late nights or a small number of sign-presented programs. A low-cost solution for personalized sign-interpreted content creation can address both of these problems, leading to greater accessibility to media content for Deaf users.

CONTENT4ALL proposes such a solution to the problem in the short-term, which is also commericalizable, and proposes innovations to technologies that can lead to automated sign-translation capabilities in long-term. To this end, it builds upon the technologies demonstrated by the consortium partners in previous EU projects.

As a first development a remote signing apparatus (located off-premises of the broadcaster) will be produced to capture a human sign-interpreter’s signs, pose and facial expressions and to parameterize this information. Then, it will be rendered photo-realistically as a 3D representation of the human sign-interpreter at the broadcaster for production of the personalized stream for Deaf users. While this solution can be used commercially, resulting datasets will provide a vast source of information for learning how to parameterize sign information for translation purposes.

The second development of CONTENT4ALL will focus on advancing the algorithms/models used to do so, with the intent to create an open dataset for further research into automated signing.

Finally, CONTENT4ALL will demonstrate automated sign-translation applied to a real-world TV broadcasting scenario, which is envisaged to lead to new approaches and innovations in the area in the long-run.


List of deliverables.
Pilot 1 demonstrator architecture, integration plan, and evaluation methodologies Documents, reports 2020-02-14 12:05:37
Project Web-site Websites, patent fillings, videos etc. 2020-02-14 12:05:38
Bi-annual project newsletters Websites, patent fillings, videos etc. 2020-02-14 12:05:38
Initial requirements and specifications for pilot demonstrators Documents, reports 2020-02-14 12:05:38
Data Management Plan Documents, reports 2020-02-14 12:05:38
Initial reference system architecture Documents, reports 2020-02-14 12:05:38
Initial Report on 3D model capture and rendering Documents, reports 2020-02-14 12:05:37
Project Leaflet Other 2020-02-14 12:05:38

Take a look to the deliverables list in detail:  detailed list of Content4All deliverables.


year authors and title journal last update
List of publications.
2018 Thanuja Mallikarachchi, Dumidu S. Talagala, Hemantha Kodikara Arachchi, Anil Fernando
Decoding-Complexity-Aware HEVC Encoding Using a Complexity–Rate–Distortion Model
published pages: 35-43, ISSN: 0098-3063, DOI: 10.1109/tce.2018.2810479
IEEE Transactions on Consumer Electronics 64/1 2020-02-14
2018 Thanuja Mallikarachchi, Dumidu S. Talagala, Hemantha Kodikara Arachchi, Anil Fernando
Content-Adaptive Feature-Based CU Size Prediction for Fast Low-Delay Video Encoding in HEVC
published pages: 693-705, ISSN: 1051-8215, DOI: 10.1109/tcsvt.2016.2619499
IEEE Transactions on Circuits and Systems for Video Technology 28/3 2020-02-14
2018 Gosala Kulupana, Dumidu S. Talagala, Hemantha Kodikara Arachchi, Anil Fernando
End User Video Quality Prediction and Coding Parameters Selection at the Encoder for Robust HEVC Video Transmission
published pages: 1-1, ISSN: 1051-8215, DOI: 10.1109/tcsvt.2018.2879956
IEEE Transactions on Circuits and Systems for Video Technology 2020-02-14
2018 Stephanie Stoll and Necati Cihan Camgoz and Simon Hadfield and Richard Bowden
Sign Language Production using Neural Machine Translation and Generative Adversarial Networks
published pages: , ISSN: , DOI:
Proceedings of the British Conference on Machine Vision (BMVC) 2020-02-14
2019 P. Fechteler, A. Hilsmann, P. Eisert
Markerless Multiview Motion Capture with 3D Shape Model Adaptation
published pages: , ISSN: 0167-7055, DOI: 10.1111/cgf.13608
Computer Graphics Forum 2020-02-14

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The information about "CONTENT4ALL" are provided by the European Opendata Portal: CORDIS opendata.

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