CS545I, Feb 16
Prof. Carlo Tomasi, Stanford Computer Science Dept.
This research concerns a content-based image retrieval system, where
queries are image-like objects. In order to achieve query times that
are better than linear in the number of images, images are processed
at entry time to yield a large number of indices. Since these indices
live in a metric space, queries can proceed in sublinear time by using
appropriate search structures. We are currently investigating two
types of indices: texture and shape. This lecture will discuss the
query approach and the issues involved, the nature of our texture and
shape indices, and the main elements of the query system. Preliminary
results from two separate demonstration systems will be presented.