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Laboratoire d'InfoRmatique en Image et Systèmes d'information

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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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Post-doc position for the ANR project "Spectacles en ligne" (SILEX team)

Models and tools for publishing and analyzing annotated videos of live performances

NB: this position is not available anymore

Post-doc position

Title: Models and tools for publishing and analyzing annotated videos of live performances
Keywords: Document engineering, Knowledge engineering, Semantic Web, Linked Open Data
Environment: LIRIS UMR 5205 CNRS - http://liris.cnrs.fr, SILEX Team - http://liris.cnrs.fr/silex situated in Lyon, France
Duration: 8 months, beginning in autumn 2013
Salary: ~ 2200 € net per month

Context

The “Spectacles en ligne” project aims firstly at building a rich annotated corpus of live performances (i.e. dramas and operas, including video captures of all rehearsals) and, secondly, at providing tools for analyzing it and publishing it toward various audiences. The partners of the project are IRI-Centre Pompidou, INRIA Grenoble, CERILAC - Paris 7, LIRIS, Ubicast, théâtre des Célestins and Festival d'Aix.

The SILEX team has expertise in document/knowledge engineering as well as semantic web technologies, and has defined a modeled-based approach for annotating videos and generating hypervideos based on these annotations (http://advene.org/).

Objectives

In the first stage of the project, rehearsals of a play and an opera have been filmed and annotated, resulting in a rich corpus of videos and annotations. The successful candidate will have to propose, and develop together with our partners, an architecture for making this corpus available to both the researchers involved in the project and the public. This architecture will have to:

  • reuse as much as possible existing vocabularies and practices in use on the Linked Data Cloud for publishing video-related annotations and meta-data, and propose new ones if needed;
  • address in a consistent way the various needs of the different targeted users (for example, different researchers will use different formats or vocabularies; the public will not have access to all the data, etc.);
  • provide extensible means of visualizing and interacting with the video and the annotations, to support the usage scenarios that will emerge from the project.

The successful candidate is also expected to produce scientific papers describing that research.

Application

Candidates should have a PhD in Computer sciences, past experience (ideally with publications) in Document engineering/Knowledge engineering, Semantic Web and associated technologies. They should be fluent in English (written and spoken). French speaking skills would be a plus.

For more information and to apply, contact:

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