KEYWORDS: Visualization, Multimedia, Visual process modeling, Spatial frequencies, Contrast sensitivity, Image enhancement, Human vision and color perception, Telecommunications, Image processing, Pollution control
An image content adaptation for visually impaired people based on the MPEG-21 Digital Item Adaptation (DIA)
standard is proposed. The content adaptation mainly considers spatial contrast vision characteristic of users, which is
represented by a contrast sensitivity function (CSF). There are three key contributions of the paper. First, the visual
perception of users who have different spatial contrast vision abilities is simulated by incorporating the HVS model
proposed by Pattanaik et al. Second, to measure spatial contrast vision, and thus realizing personalized content
adaptation depending on the severity of the visual ability of individual user, CSF is measured on computer-based
environment. The measured spatial contrast vision symptom and its severity, is represented in an interoperable way by
using an example of extended description tool provided by the MPEG-21 DIA specification. Third, the content
adaption is also proposed, which is personalized in a sense that the adapted content would be optimized to the given
description of a particular symptom and its severity. To assess the effectiveness of the proposed methods, we performed
a number of experiments targeting users with a low vision and showed how to determine and describe the CSF
parameters. Furthermore, statistical experiment is performed to verify the effectiveness of the proposed adaptation
process for users with the low vision symptom.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.