Skip to main content
EURASIP Journal on Image and Video Processing
Download PDF

Cued Speech Gesture Recognition: A First Prototype Based on Early Reduction

EURASIP Journal on Image and Video Processing volume 2007, Article number: 073703 (2008) Cite this article

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.

[1234567891011121314151617181920212223]

References

  1. Cornett RO: Cued speech. American Annals of the Deaf 1967, 112: 3-13.

    Google Scholar 

  2. Beautemps D: Telephone for hearing impaired. French RNTS Report 2005. Reseau National des Technologies pour la Santé

    Google Scholar 

  3. http://www.lis.inpg.fr/pages_perso/caplier/english/geste.html.en/geste_1.html.en.html

  4. 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

    Google Scholar 

  5. 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.

    Article  Google Scholar 

  6. 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

    Article  Google Scholar 

  7. 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

    Article  MathSciNet  MATH  Google Scholar 

  8. 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

    Article  Google Scholar 

  9. Bilmes J: What HMMs can do. In Tech. Rep. UWEETR-2002-2003. University of Washington, Department Of EE, Seattle, Wash, USA; 2002.

    Google Scholar 

  10. 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.

    Google Scholar 

  11. Dorner B, Hagen E: Towards an American sign language interface. Artificial Intelligence Review 1994,8(2-3):235-253. 10.1007/BF00849076

    Article  Google Scholar 

  12. 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

    Google Scholar 

  13. 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

    Article  Google Scholar 

  14. 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

    Google Scholar 

  15. Barron JL, Fleet DJ, Beauchemin SS: Performance of optical flow techniques. International Journal of Computer Vision 1994,12(1):43-77. 10.1007/BF01420984

    Article  Google Scholar 

  16. Irani M, Rousso B, Peleg S: Computing occluding and transparent motions. International Journal of Computer Vision 1994,12(1):5-16.

    Article  Google Scholar 

  17. 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

    Google Scholar 

  18. 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.

    Article  MATH  Google Scholar 

  19. 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;

    Google Scholar 

  20. 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

    Article  Google Scholar 

  21. Cortes C, Vapnik V: Support-vector networks. Machine Learning 1995,20(3):273-297.

    MATH  Google Scholar 

  22. Chang C-C, Lin C-J: LIBSVM: a library for support vector machines. 2001.http://www.csie.ntu.edu.tw/~cjlin/libsvm

    Google Scholar 

  23. http://www.bioid.com/

Download references

Author information

Authors and Affiliations

  1. France Telecom R&D, 28 chemin du Vieux Chêne, Meylan, 38240, France

    Thomas Burger & Pascal Perret

  2. GIPSA-Lab/DIS, 46 avenue Félix Viallet, Grenoble Cedex, 38031, France

    Alice Caplier

Authors
  1. Thomas Burger
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alice Caplier
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pascal Perret
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Thomas Burger.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

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

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1155/2007/73703

Keywords