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ISCApad Archive  »  2012  »  ISCApad #173  »  Jobs  »  (2012-08-30) Post-doc position at LIMSI-CNRS in the Spoken Language Processing group, Paris

ISCApad #173

Sunday, November 11, 2012 by Chris Wellekens

6-26 (2012-08-30) Post-doc position at LIMSI-CNRS in the Spoken Language Processing group, Paris
  

Post-doc position at LIMSI-CNRS Post-doc positionin the Spoken Language Processing     group    

A post-doc position will be proposed at LIMSI-CNRS, in the       context of the ANR-funded CHIST-ERA CAMOMILE Project       (Collaborative Annotation of multi-MOdal, MultI-Lingual and       multi-mEdia documents).
   

   

Description

    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 project 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.
   

Skills

    A PhD in a field related to the project is required.
   

Contacts

   

   

Agenda

   

         
  • Starting date:  Fall 2012
  •      
  • Duration of the project: 36 months
  •    

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