Database Environment for Vision Research
Overview
The Database Environment for Vision Research was designed as a
general scientific database system, but motivated by and intended
for use in model-based computer vision. We provide a unified data
model, a highly graphical user interface, an advanced query
facility and an interactive laboratory notebook. The Database
Environment for Vision Research aids in scientific experimentation
and promotes data sharing in the computer vision community.
In DEVR, entities are stored in hierarchical, relational data
structures. The schema for each entity contains a name, a set of
properties, a set of parts, a set of attributed relations among the
parts and a set of graphic definitions which describe how to build
instance-specific visualizations.
We are studying many different image database research topics
including:
People
Principal Investigators
Graduate Students
Publications
- Linda G. Shapiro, Steven L. Tanimoto, James F.
Brinkley, James P. Ahrens, Rex M. Jakobovits and Lara M. Lewis,
A Visual Database System for Data and Experiment Management in
Model-Based Computer Vision, Proceedings of the Second
CAD-Based Vision Workshop, February 1994. Presents an
overview of the DEVR project.
- Lara Lewis, Linda Shapiro, Steven Tanimoto, Flexible Data
Organization with Visualization Support for a Visual Database
System , IS&T / SPIE Symposium on Electronic Imaging:
Science and Technology , February 1995.
- Rex Jakobovits, Linda Shapiro, Steven Tanimoto, Implementing
Multi-level Queries in a Database Environment for Vision
Research , IS&T / SPIE Symposium on Electronic Imaging:
Science and Technology , February 1995.
email: ahrens@cs.washington.edu
Last modified: 2/29/96