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Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction
EURASIP Journal on Image and Video Processing volume 2007, Article number: 073703 (2008)
Abstract
Cued Speech is a specific linguistic code for hearing-impaired people. It is based on both lip reading and manual gestures. In the context of THIMP (Telephony for the Hearing-IMpaired Project), we work on automatic cued speech translation. In this paper, we only address the problem of automatic cued speech manual gesture recognition. Such a gesture recognition issue is really common from a theoretical point of view, but we approach it with respect to its particularities in order to derive an original method. This method is essentially built around a bioinspired method called early reduction. Prior to a complete analysis of each image of a sequence, the early reduction process automatically extracts a restricted number of key images which summarize the whole sequence. Only the key images are studied from a temporal point of view with lighter computation than the complete sequence.
References
Cornett RO: Cued speech. American Annals of the Deaf 1967, 112: 3-13.
Beautemps D: Telephone for hearing impaired. French RNTS Report 2005. Reseau National des Technologies pour la Santé
http://www.lis.inpg.fr/pages_perso/caplier/english/geste.html.en/geste_1.html.en.html
Caplier A, Bonnaud L, Malassiotis S, Strintzis M: Comparison of 2D and 3D analysis for automated cued speech gesture recognition. Proceedings of the 9th International Workshop on Speech and Computer (SPECOM '04), September 2004, Saint-Petersburg, Russia
Attina V, Beautemps D, Cathiard M-A, Odisio M: A pilot study of temporal organization in cued speech production of French syllables: rules for a cued speech synthesizer. Speech Communication 2004,44(1–4):197-214.
Ong SCW, Ranganath S: Automatic sign language analysis: a survey and the future beyond lexical meaning. IEEE Transactions on Pattern Analysis and Machine Intelligence 2005,27(6):873-891. 10.1109/TPAMI.2005.112
Kschischang FR, Frey BJ, Loeliger H-A: Factor graphs and the sum-product algorithm. IEEE Transactions on Information Theory 2001,47(2):498-519. 10.1109/18.910572
Rabiner LR: A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE 1989,77(2):257-286. 10.1109/5.18626
Bilmes J: What HMMs can do. In Tech. Rep. UWEETR-2002-2003. University of Washington, Department Of EE, Seattle, Wash, USA; 2002.
Burger T, Benoit A, Caplier A: Extracting static hand gestures in dynamic context. Proceedings of the IEEE International Conference on Image Processing (ICIP '06), October 2006, Atlanta, Ga, USA 2081-2084.
Dorner B, Hagen E: Towards an American sign language interface. Artificial Intelligence Review 1994,8(2-3):235-253. 10.1007/BF00849076
Burger T, Caplier A, Mancini S: Cued speech hand gestures recognition tool. Proceedings of the 13th European Signal Processing Conference (EUSIPCO '05), September 2005, Antalya, Turkey
Garcia C, Delakis M: Convolutional face finder: a neural architecture for fast and robust face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence 2004,26(11):1408-1423. 10.1109/TPAMI.2004.97
Duffner S, Garcia C: A hierarchical approach for precise facial feature detection. Proceedings of Compression et Représentation des Signaux Audiovisuels (CORESA '05), November 2005, Rennes, France
Barron JL, Fleet DJ, Beauchemin SS: Performance of optical flow techniques. International Journal of Computer Vision 1994,12(1):43-77. 10.1007/BF01420984
Irani M, Rousso B, Peleg S: Computing occluding and transparent motions. International Journal of Computer Vision 1994,12(1):5-16.
Benoit A, Caplier A: Motion estimator inspired from biological model for head motion interpretation. Proceedings of the 6th European Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS '05), April 2005, Montreux, Switzerland
Wang S, Zhang J, Wang Y, Zhang J, Li B: Simplest operator based edge detection of binary image. Proceedings of the International Computer Congress on Wavelet Analysis and Its Applications, and Active Media Technology, May 2004, Chongqing, China 1: 51-56.
Morris T, Elshehry OS: Hand segmentation from live video. In Proceedings of the International Conference on Imaging Science Systems and Technology (CISST '02), August 2002, Manchester, UK. UMIST;
Zhang D, Lu G: Evaluation of MPEG-7 shape descriptors against other shape descriptors. Multimedia Systems 2003,9(1):15-30. 10.1007/s00530-002-0075-y
Cortes C, Vapnik V: Support-vector networks. Machine Learning 1995,20(3):273-297.
Chang C-C, Lin C-J: LIBSVM: a library for support vector machines. 2001.http://www.csie.ntu.edu.tw/~cjlin/libsvm
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Burger, T., Caplier, A. & Perret, P. Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction. J Image Video Proc 2007, 073703 (2008). https://doi.org/10.1155/2007/73703
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DOI: https://doi.org/10.1155/2007/73703
Keywords
- Reduction Process
- Complete Sequence
- Temporal Point
- Complete Analysis
- Original Method