EURASIP Journal on Image and Video Processing
Volume 2007 (2007), Article ID 45641, 14 pages
doi:10.1155/2007/45641
Review Article

Image and Video for Hearing Impaired People

Alice Caplier,1 Sébastien Stillittano,1 Oya Aran,2 Lale Akarun,2 Gérard Bailly,3 Denis Beautemps,3 Nouredine Aboutabit,3 and Thomas Burger4

1Gipsa-lab, DIS, 46 avenue Félix Viallet, Grenoble cedex 38031, France
2Department of Computer Engineering, Bogazici University, Bebek 34342 Istanbul, Turkey
3Gipsa-lab, DPC, 46 avenue Félix Viallet, Grenoble cedex 38031, France
4France Télécoms, R&D-28, Ch. Vieux Chêne, Meylan 38240, France

Received 4 December 2007; Accepted 31 December 2007

Academic Editor: Dimitrios Tzovaras

Copyright © 2007 Alice Caplier et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We present a global overview of image- and video-processing-based methods to help the communication of hearing impaired people. Two directions of communication have to be considered: from a hearing person to a hearing impaired person and vice versa. In this paper, firstly, we describe sign language (SL) and the cued speech (CS) language which are two different languages used by the deaf community. Secondly, we present existing tools which employ SL and CS video processing and recognition for the automatic communication between deaf people and hearing people. Thirdly, we present the existing tools for reverse communication, from hearing people to deaf people that involve SL and CS video synthesis.