Enhancement of Dynamic Media for Visually-Impaired People

为视障人士增强动态媒体

• 批准号: 7737272
• 负责人: Peter John Bex
• 金额: $ 48.96万
• 依托单位: SCHEPENS EYE RESEARCH INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7737272
• 关键词: Activities of Daily Living; Affect; Age; Age related macular degeneration; Algorithms; American; Area; Automobile Driving; Behavioral; Blindness; Computational Technique; Computers; Contrast Sensitivity; Crowding; Eye Movements; Face; Goals; Gray unit of radiation dose; Head; Image; Image Enhancement; Internet; Joints; Location; Maps; Measures; Methods; Metric; Monitor; Participant; Patients; Perception; Performance; Peripheral; Persons; Population; Psychophysiology; Public Health; Quality of life; Reading; Relative (related person); Retinal; Route; Self-Help Devices; Side; Source; Stimulus; Structure; System; Techniques; Television; Time; Vision; Visual Fields; Visual impairment; Visually Impaired Persons; Walking; base; cost; improved; movie; novel; preference; public health relevance; research study; visual search

DESCRIPTION (provided by applicant): There are approximately 3.7 million Americans with visual impairment, most of whom have central vision loss and this number is expected to rise as our population ages. Broadcast television, movies and the internet are major sources of information, independence and entertainment, but these media are difficult to use for people with central vision loss. There are few effective assistive devices for using these dynamic media and this is partly because we know relatively little about the perception of natural images viewed with non-foveal vision. This application examines how the visibility of information in natural images depends on contrast and on the presence of nearby features. We introduce new computational techniques that measure and manipulate the visibility of areas within real movies. Next, we use computational and behavioral techniques to segment image locations that are important for perception from areas that are unimportant. These approaches are brought together in a novel, low cost image enhancement system that will operate on standard computers. This system will be evaluated by a group of people with central vision loss and compared side-by- side with alternative methods. PUBLIC HEALTH RELEVANCE: Television, movies and the internet are a major source of information, independence and entertainment, but these media are difficult to use by people with central vision loss and there are few effective assistive devices available. This project contributes directly to public health by developing a low cost image enhancement system for use by this growing population of visually impaired people.

描述（由申请人提供）：大约有370万美国人患有视力障碍，其中大多数人患有中央视力丧失，随着人口老龄化，这一数字预计将上升。广播电视、电影和互联网是信息、独立性和娱乐的主要来源，但这些媒体对中心视力丧失的人来说很难使用。使用这些动态媒体的有效辅助设备很少，这部分是因为我们对非中央凹视觉观看的自然图像的感知知之甚少。这个应用程序研究了自然图像中信息的可见性如何取决于对比度和附近特征的存在。我们引入了新的计算技术，测量和操纵真实的电影中的区域的可见性。接下来，我们使用计算和行为技术来分割图像位置，这些位置对于感知来说是重要的，而对于感知来说是不重要的。这些方法汇集在一个新的，低成本的图像增强系统，将在标准的计算机上运行。该系统将由一组中心视力丧失的人进行评估，并与替代方法进行并排比较。公共卫生相关性：电视、电影和互联网是信息、独立和娱乐的主要来源，但这些媒体很难被中央视力丧失的人使用，而且几乎没有有效的辅助设备。该项目通过开发一种低成本的图像增强系统，供日益增长的视障人群使用，直接为公共卫生做出贡献。