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ELAN as flexible annotation framework for sound and image processing detectors

MPS-Authors
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Auer,  Eric
Technical Group, MPI for Psycholinguistics, Max Planck Society;

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Russel,  Albert
Technical Group, MPI for Psycholinguistics, Max Planck Society;

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Sloetjes,  Han
Technical Group, MPI for Psycholinguistics, Max Planck Society;

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Wittenburg,  Peter
Technical Group, MPI for Psycholinguistics, Max Planck Society;

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Avatech_ELAN.pdf
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Citation

Auer, E., Russel, A., Sloetjes, H., Wittenburg, P., Schreer, O., Masnieri, S., et al. (2010). ELAN as flexible annotation framework for sound and image processing detectors. Poster presented at Seventh conference on International Language Resources and Evaluation [LREC 2010], Valletta, Malta.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0012-B749-E
Abstract
Annotation of digital recordings in humanities research still is, to a largeextend, a process that is performed manually. This paper describes the firstpattern recognition based software components developed in the AVATecH projectand their integration in the annotation tool ELAN. AVATecH (AdvancingVideo/Audio Technology in Humanities Research) is a project that involves twoMax Planck Institutes (Max Planck Institute for Psycholinguistics, Nijmegen,Max Planck Institute for Social Anthropology, Halle) and two FraunhoferInstitutes (Fraunhofer-Institut für Intelligente Analyse- undInformationssysteme IAIS, Sankt Augustin, Fraunhofer Heinrich-Hertz-Institute,Berlin) and that aims to develop and implement audio and video technology forsemi-automatic annotation of heterogeneous media collections as they occur inmultimedia based research. The highly diverse nature of the digital recordingsstored in the archives of both Max Planck Institutes, poses a huge challenge tomost of the existing pattern recognition solutions and is a motivation to makesuch technology available to researchers in the humanities.