MeMAD SIGNED
Methods for Managing Audiovisual Data: Combining Automatic Efficiency with Human Accuracy
Total Cost €
0EC-Contrib. €
0Partnership
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0MeMAD 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.
Project "MeMAD" data sheet
The following table provides information about the project.
| Coordinator |
AALTO KORKEAKOULUSAATIO SR
Organization address contact info |
| 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.
| # | ||||
|---|---|---|---|---|
| 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
| 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 |
|---|---|---|---|
| 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.