Abstract
Evolution and changes of all modern languages is a well-known fact. However, recently it is reaching dynamics never seen before, which results in loss of the vast amount of information encoded in every language. In order to preserve such rich heritage, and to carry out linguistic research, properly annotated recordings of world languages are necessary. Since creating those annotations is a very laborious task, reaching times 100 longer than the length of the annotated media, innovative video processing algorithms are needed, in order to improve the efficiency and quality of annotation process. This is the scope of the AVATecH project presented in this article.
AVATecH is a joint project of Max Planck and Fraunhofer Institutes, started in 2009 and funded by MPG and FhG. Some of the research leading to these results has received funding from the European Commissions 7th Framework Program under grant agreement n 238405 (CLARA).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Crystal, D.: Language Death. Cambridge University Press, Cambridge (2000)
Lenkiewicz, P., Gebre, B.G., Schreer, O., Masneri, S., Schneider, D., Tschöpel, S.: Avatech automated annotation through audio and video analysis. In: Choukri, K., Declerck, T., Doğan, M.U., Maegaard, B., Mariani, J., Odijk, J., Piperidis, S. (eds.) Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC’12) (N. C. C. Chair), Istanbul, Turkey. European Language Resources Association (ELRA), May 2012
Lenkiewicz, P., Uytvanck, D.V., Wittenburg, P., Drude, S.: Towards automated annotation of audio and video recordings by application of advanced web-services. In: INTERSPEECH, ISCA (2012)
Ajmera, J., Bourlard, H., Lapidot, I., McCowan, I.: Unknown-multiple speaker clustering using hmm. In: INTERSPEECH, Citeseer (2002)
Terrillon, J.-C., Shirazi, M., Fukamachi, H., Akamatsu, S.: Comparative performance of different skin chrominance models and chrominance spaces for the automatic detection of human faces in color images. In: Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 54–61 (2000)
Vezhnevets, V., Sazonov, V., Andreeva, A.: A survey on pixel-based skin color detection techniques. In: Proceedings of the GRAPHICON-2003, pp. 85–92 (2003)
Kueblbeck, C., Ernst, A.: Face detection and tracking in video sequences using the modified census transformation. J. Image Vis. Comput. 24(6), 564–572 (2006)
Atzpadin, N., Kauff, P., Schreer, O.: Stereo analysis by hybrid recursive matching for real-time immersive video conferencing. IEEE Trans. Circuits Syst. Video Technol. 14(3), 321–334 (2004)
Dumitras, A., Haskell, B.G.: A look-ahead method for pan and zoom detection in video sequences using block-based motion vectors in polar coordinates. In: Proceedings of the ISCAS, vol. 3, pp. 853–856 (2004)
Tranter, S., Reynolds, D.: An overview of automatic speaker diarization systems. IEEE Trans. Audio, Speech, Lang. Process. 14(5), 1557–1565 (2006)
Anguera Miro, X., Bozonnet, S., Evans, N., Fredouille, C., Friedland, G., Vinyals, O.: Speaker diarization: a review of recent research. IEEE Trans. Audio, Speech, Lang. Process. 20(2), 356–370 (2012)
McNeill, D.: So you think gestures are nonverbal? Psychol. Rev. 92, 350–371 (1985)
Gebre, B.G., Wittenburg, P., Heskes, T.: The gesturer is the speaker. In: ICASSP 2013 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Lenkiewicz, P. et al. (2014). Application of Audio and Video Processing Methods for Language Research and Documentation: The AVATecH Project. In: Vetulani, Z., Mariani, J. (eds) Human Language Technology Challenges for Computer Science and Linguistics. LTC 2011. Lecture Notes in Computer Science(), vol 8387. Springer, Cham. https://doi.org/10.1007/978-3-319-08958-4_24
Download citation
DOI: https://doi.org/10.1007/978-3-319-08958-4_24
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08957-7
Online ISBN: 978-3-319-08958-4
eBook Packages: Computer ScienceComputer Science (R0)