Summary of the paper
| Title | AVATecH ― automated annotation through audio and video analysis |
|---|---|
| Authors | Przemyslaw Lenkiewicz, Binyam Gebrekidan Gebre, Oliver Schreer, Stefano Masneri, Daniel Schneider and Sebastian Tschöpel |
| Abstract | In different fields of the humanities annotations of multimodal resources are a necessary component of the research workflow. Examples include linguistics, psychology, anthropology, etc. However, creation of those annotations is a very laborious task, which can take 50 to 100 times the length of the annotated media, or more. This can be significantly improved by applying innovative audio and video processing algorithms, which analyze the recordings and provide automated annotations. This is the aim of the AVATecH project, which is a collaboration of the Max Planck Institute for Psycholinguistics (MPI) and the Fraunhofer institutes HHI and IAIS. In this paper we present a set of results of automated annotation together with an evaluation of their quality. |
| Topics | Multimedia Document Processing, Corpus (creation, annotation, etc.), Information Extraction, Information Retrieval |
Full paper  |
AVATecH ― automated annotation through audio and video analysis |
| Bibtex | @InProceedings{LENKIEWICZ12.303, author = {Przemyslaw Lenkiewicz and Binyam Gebrekidan Gebre and Oliver Schreer and Stefano Masneri and Daniel Schneider and Sebastian Tschöpel}, title = {AVATecH ― automated annotation through audio and video analysis}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |