Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial Image and Video Processing for Disability | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID 54743 2 pages doi 2007 54743 Editorial Image and Video Processing for Disability Alice Caplier 1 Thierry Pun 2 and Dimitrios Tzovaras3 1 Laboratoire des Image et des Signaux LSI Institute National Polytechnique de Grenoble INPG 46 Avenue Felix Viallet 38031 Grenoble Cedex France 2 Centre Universitaire d Informatique CUI Universite de Geneva 24 Rue General Dufour 1211 Geneva 4 Switzerland 3 Centre for Research and Technology Hellas Informatics and Telematics Institiute 1st Km Thermi-Panorama Road 57001 ThermLThessaloniki Greece Received 31 December 2007 Accepted 31 December 2007 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. New technologies represent a great opportunity for the improvement of life and independent living of the disabled and elderly people. Over the last decade active researches have produced novel algorithms for visually impaired deaf mute people or for people with severe motor disabilities. These researches are strongly related to the development of new dedicated systems for human-computer interaction. Whatever the kind of handicap image and video processing can provide a significant help for disability compensation. It can also contribute to decrease the gap between disabled and nondisabled people with respect to the new technologies. Developments of new systems for disabled persons are essentially of a multidisciplinary nature. Disciplines involved range from engineering sciences computer science signal processing human factors robotics electronics etc. to human sciences psychology cognition etc. . This special issue focuses on work involving image and video processing as their core technologies. The papers are divided into three categories .