University of Washington - Department of Computer Science and Engineering
In this talk, I will present wavelet-based representations for multiresolution curves and images, and discuss several of their applications. The multiresolution curve representation conveniently supports a variety of operations: smoothing a curve; editing the overall form of a curve while preserving its details; modifying the character of a curve while preserving its overall shape; and approximating a curve for scan conversion. For images, we use multiresolution analysis for "content-based image querying" -- searching an image database using a query image that is similar to an intended target. The image-querying algorithm is remarkably effective, and fast enough to be performed on a database of 20,000 images at interactive speeds as a query is sketched.