Image and Video for Hearing Impaired People
Article Quality & Performance Metrics
Readership in this journal
StarRanked #10 of 37 articles by views in eurasip journal on image and video processing
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
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.
| Reference Key |
oya2007imageeurasip
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Oya, Aran;Lale, Akarun;Thomas, Burger;Gérard, Bailly;Denis, Beautemps;Nouredine, Aboutabit;Alice, Caplier;Sébastien, Stillittano; |
| Journal | eurasip journal on image and video processing |
| Year | 2007 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.