CHIST-ERA - 2nd appel à projets de l’ERA-Net CHIST-ERA

Annotation collaborative de documents multi-modaux, multi-lingues et multi-média – CAMOMILE

Submission summary

Human activity is constantly generating large volumes of heterogeneous data, in particular via the Web. These data can be collected and explored to gain new insights in social sciences, linguistics, economics, behavioural studies as well as artificial intelligence and computer sciences.
In this regard, 3M (multimodal, multimedia, multilingual) data could be seen as a paradigm of sharing an object of study, human data, between many scientific domains. But, to be really useful, these data should be annotated, and available in very large amounts. Annotated data is useful for computer sciences which process human data with statistical-based machine learning methods, but also for social sciences which are more and more using the large corpora available to support new insights, in a way which was not imaginable few years ago.
However, annotating data is costly as it involves a large amount of manual work, and in this regard 3M data, for which we need to annotate different modalities with different levels of abstraction is especially costly. Current annotation framework involves some local manual annotation, with the help sometimes of some automatic tools (mainly pre-segmentation).
The proposal aims at developing a first prototype of collaborative annotation framework on 3M data, in which the manual annotation will be done remotely on many sites, while the final annotation will be localized on the main site. Furthermore, with the same principle, some systems devoted to automatic processing of the modalities (speech, vision) present in the multimedia data will help the transcription, by producing automatic annotations. These automatic annotations are done remotely in each expertise point, which will be then combined locally to produce a meaningful help to the annotators.
In order to develop this new annotation concept, we will test it on a practical case study: the problem of person annotation (who is speaking?, who is seen?) in video, which needs collaboration of high level automatic systems dealing with different media (video, speech, audio tracks, OCR, ...). The quality of the annotated data will be evaluated through the task of person retrieval.
This new way to envision the annotation process, should lead to some methodologies, tools, instruments and data that are useful for the whole scientific community who have interest in 3M annotated data; to support this will, all the work will be supervised by a committee which will contain representatives from the main international organizations dealing with language resources and evaluation.

Project coordination

Claude Barras (Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur - Centre National de la Recherche) – Claude.Barras@limsi.fr

The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.

Partner

LIMSI-CNRS Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur - Centre National de la Recherche
ITU Istanbul Technical University / Faculty of Computer and Informatics
LIG-CNRS Laboratoire d'Informatique de Grenoble
CRP-Lippmann Centre de Recherche Public - Gabriel Lippmann
UPC Universitat Politècnica de Catalunya
IMMI-CNRS Institut des technologies Multilingues et Multimédias de l'Information

Help of the ANR 601,452 euros
Beginning and duration of the scientific project: September 2012 - 42 Months

Useful links

Explorez notre base de projets financés

 

 

ANR makes available its datasets on funded projects, click here to find more.

Sign up for the latest news:
Subscribe to our newsletter