Perceptually-Supported Image Editing of Text and Graphics
UIST '03 (ACM Symposium on User Interface Software and Technology)
Eric Saund, David Fleet, Daniel Larner, James Mahoney
Palo Alto Research Center
Abstract
This paper presents a novel image editing program emphasizing easy selection
and manipulation of material found in informal, casual documents such as
sketches, handwritten notes, whiteboard images, screen snapshots, and scanned
documents. The program, called {\it ScanScribe}, offers four significant
advances. First, it presents a new, intuitive model for maintaining
image objects and groups, along with underlying logic for updating these in
the course of an editing session. Second, ScanScribe takes advantage of newly
developed image processing algorithms to separate foreground markings from a
white or light background, and thus can automatically render the background
transparent so that image material can be rearranged without occlusion by
background pixels. Third, ScanScribe introduces new interface techniques for
selecting image objects with a pointing device without resorting to a palette
of tool modes. Fourth, ScanScribe presents a platform for exploiting image
analysis and recognition methods to make perceptually significant structure readily
available to the user. As a research prototype, ScanScribe has proven useful
in the work of members of our laboratory, and has been released on a limited
basis for user testing and evaluation.
Paper
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