Abstract
We present a method for automatically determining the perceptual importance
of different regions in an image. The algorithm is based on human
visual attention and eye movement characteristics. Several features
known to influence human visual attention are evaluated for each
region of a segmented image to produce an importance value for each
factor and region. These are combined to produce an Importance Map,
which classifies each region of the image in relation to its perceptual
importance. Results shown indicate that the calculated Importance
Maps correlate well with human perception of visually important regions.
The Importance Maps can be used in a variety of applications, including
compression, machine vision, and image databases. Our technique is
computationally efficient and flexible, and can easily be extended
to specific applications
Users
Please
log in to take part in the discussion (add own reviews or comments).