This study intends to measure the degree of correlation/similarity between the subjective gaze points (obtained
by eye tracking experiments) and the objective interest points of several well-known detectors such as Harris and
SURF. For each of the latter, we look for the best setting in term of maximization of likeness with the gaze points.
For this task, the Earth Mover's Distance (EMD) is used to compare two data-sets with different cardinalities.
We also used ANOVA to measure the influence of each parameter involved in the detectors' settings as well
as the possible introduced bias. The conclusions of this study are related to the suitability of each detector to
estimate the subjective gaze points.
Quality assessment is becoming an important issue in the framework of image and video processing. Images
are generally intended to be viewed by human observers and thus the consideration of the visual perception is
an intrinsic aspect of the effective assessment of image quality. This observation has been made for different
application domains such as printing, compression, transmission, and so on. Recently hundreds of research paper
have proposed objective quality metrics dedicated to several image and video applications. With this abundance
of quality tools, it is more than ever important to have a set of rules/methods allowing to assess the efficiency
of a given metric. In this direction, technical groups such as VQEG (Video Quality Experts Group) or JPEG
AIC (Advanced Image Coding) have focused their interest on the definition of test-plans to measure the impact
of a metric. Following this wave in the image and video community, we propose in this paper a web-service or
a web-application dedicated to the benchmark of quality metrics for image compression and open to all possible
extensions. This application is intended to be the reference tool for the JPEG committee in order to ease the
evaluation of new compression technologies. Also it is seen as a global help for our community to help researchers
time while trying to evaluate their algorithms of watermarking, compression, enhancement, . . . As an illustration
of the web-application, we propose a benchmark of many well-known metrics on several image databases to
provide a small overview of the possible use.
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.