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MeMAD SIGNED

Methods for Managing Audiovisual Data: Combining Automatic Efficiency with Human Accuracy

Total Cost €

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EC-Contrib. €

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Partnership

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 MeMAD project word cloud

Explore the words cloud of the MeMAD project. It provides you a very rough idea of what is the project "MeMAD" about.

creative    portion    sounds    anyone    computer    modern    cope    actually    multilingual    re    people    images    memories    sequences    created    purpose    bases    intermodal    verbalisations    content    fast    descriptions    video    records    words    deep    collected    industries    attract    consumption    benefit    speech    memad    auditory    surrogates    semantic    visual    time    objects    translation    recognizes    broadcasting    integrates    handle    audio    techniques    audiovisual    mobile    mainly    material    latest    network    aligned    neural    watching    efficient    digital    hearing    interactively    data    moving    learning    asset    ing    history    extraction    big    achievements    millions    description    videos    listening    entertain    storytelling    revolutionize    repositories    internationally    framework    resource    visually    ways    communicate    matching    machine    invasive    films    human    centuries    vision    processed    media    action    source    automatic    21st    impaired    english    20th   

Project "MeMAD" data sheet

The following table provides information about the project.

Coordinator
AALTO KORKEAKOULUSAATIO SR 

Organization address
address: OTAKAARI 1
city: ESPOO
postcode: 2150
website: http://www.aalto.fi/en/

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 Finland [FI]
 Project website https://memad.eu
 Total cost 3˙431˙593 €
 EC max contribution 3˙431˙593 € (100%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2017-1
 Funding Scheme RIA
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2020-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    AALTO KORKEAKOULUSAATIO SR FI (ESPOO) coordinator 752˙207.00
2    LIMECRAFT NV BE (GENT) participant 633˙080.00
3    EURECOM FR (BIOT) participant 401˙598.00
4    HELSINGIN YLIOPISTO FI (HELSINGIN YLIOPISTO) participant 397˙398.00
5    UNIVERSITY OF SURREY UK (GUILDFORD) participant 370˙680.00
6    YLEISRADIO OY FI (HELSINKI) participant 354˙850.00
7    INSTITUT NATIONAL DE L'AUDIOVISUEL FR (BRY-SUR-MARNE) participant 212˙528.00
8    LINGSOFT OY FI (HELSINKI) participant 157˙717.00
9    LINGSOFT LANGUAGE SERVICES OY FI (TURKU) participant 151˙532.00

Map

 Project objective

Audiovisual media content created and used in films and videos is key for people to communicate and entertain. It has also become an essential resource of modern history, since a large portion of memories and records of the 20th and 21st centuries are audiovisual. To fully benefit from this asset, fast and effective methods are needed to cope with the rapidly growing audiovisual big data that are collected in digital repositories and used internationally. MeMAD will provide novel methods for an efficient re-use and re-purpose of multilingual audiovisual content which revolutionize video management and digital storytelling in broadcasting and media production. We go far beyond the state-of-the-art automatic video description methods by making the machine learn from the human. The resulting description is thus not only a time-aligned semantic extraction of objects but makes use of the audio and recognizes action sequences. While current methods work mainly for English, MeMAD will handle multilingual source material and produce multilingual descriptions and thus enhance the user experience. Our method interactively integrates the latest research achievements in deep neural network techniques in computer vision with knowledge bases, human and machine translation in a continuously improving machine learning framework. This results in detailed, rich descriptions of the moving images, speech, and audio, which enable people working in the Creative Industries to access and use audiovisual information in more effective ways. Moreover,the intermodal translation from images and sounds into words will attract millions of new users to audiovisual media, including the visually and hearing impaired. Anyone using audiovisual content will also benefit from these verbalisations as they are non-invasive surrogates for visual and auditory information, which can be processed without the need of actually watching or listening, matching the new usage of video consumption on mobile devices.

 Deliverables

List of deliverables.
Specification of the data interchange format, intermediate version Documents, reports 2019-09-05 12:46:34
Data management plan Open Research Data Pilot 2019-05-28 16:15:03
Libraries and tools for multimodal content analysis Other 2019-05-28 16:15:03
Multimodally annotated dataset of described video Other 2019-05-28 16:15:03
TV programme annotation model Documents, reports 2019-05-28 16:15:03
Setup of website with presentation of project and consortium partners Websites, patent fillings, videos etc. 2019-05-28 16:15:03
Report on multimodal machine translation Documents, reports 2019-05-28 16:15:03
Data management plan, update 1 Open Research Data Pilot 2019-09-05 12:44:32
Specification of the data interchange format, initial version Documents, reports 2019-09-05 12:44:32
Evaluation report, initial version Documents, reports 2019-09-05 12:44:32

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

 Publications

year authors and title journal last update
List of publications.
2018 Francis, Danny; Huet, Benoit; Merialdo, Bernard
EURECOM participation in TrecVid VTT 2018
published pages: , ISSN: , DOI:
TRECVID 2018, 22nd International Workshop on Video Retrieval Evaluation, November 13-15, 2018, Gaithersburg, USA 2019-08-05
2018 Mats Sjöberg, Hamed R. Tavakoli, Zhicun Xu, Hector Laria Mantecon and Jorma Laaksonen
PicSOM Experiments in TRECVID 2018
published pages: , ISSN: , DOI:
TRECVID 2018, 22nd International Workshop on Video Retrieval Evaluation, November 13-15, 2018, Gaithersburg, USA 2019-08-05
2018 Cohendet, Romain; Demarty, Claire-Hélène; Duong, Ngoc Q.K.; Sjöberg, Mats; Ionescu, Bogdan; Do, Thanh Toan
MediaEval 2018: Predicting Media Memorability
published pages: , ISSN: 1613-0073, DOI:
CEUR Workshop Proceedings 2283 2019-08-05
2018 Sulubacak, Umut; Tiedemann, Jörg; Rouhe, Aku; Grönroos, Stig-Arne; Kurimo, Mikko
The MeMAD Submission to the IWSLT 2018 Speech Translation Task
published pages: 89-94, ISSN: , DOI:
Proceedings of the International Workshop on Spoken Language Translation 2019-08-05

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

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