MIT Department of Electrical Engineering & Computer Science
Curve Editing, Image Querying, and Video Clip Art:
Multiresolution Methods in Computer Graphics
Adam Finkelstein
University of Washington
Monday, April 22, 1996
4:00 PM (3:45 refreshments)
Room NE43-518
EECS Special Seminar
Abstract
In this talk, I will present some new representations and algorithms
for multiresolution curves, images and video, and discuss several of
their applications. The multiresolution curve representation, which
is based on wavelets, conveniently supports a variety of operations:
smoothing a curve; editing the overall form of a curve while
preserving its details; 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. Finally,
I will describe a representation for time-varying image data, which
allows for varying -- and arbitrarily high -- spatial and temporal
resolutions in different parts of a video sequence. This
"multiresolution video" representation supports a variety of
applications: interactive viewing of large, multiresolution scientific
data sets at different levels of detail in both space and time;
constant speed display of video in the presence of varying bandwidth
or CPU load; enhanced video scrubbing; and "video clip art" editing
and compositing.
Host: Prof. Seth Teller
URL of this page:
http://www-eecs.mit.edu/AY95-96/events/50.html
Created: Apr 17, 1996
|
Modified: Jun 25, 1997
This announcement is from the MIT EECS 1995-96 archive.
|
Current events
To MIT EECS home page
|
Your comments
and inquiries are welcome.
