1. Content Based Image Retrieval System Team ZigZag
Authors
Matt Heye
Adam Russell
Will French
Advisor
Dr. Rylander
Industry Representative
Glenna Van Duzer Lorie Gordon
Harland Financial Solutions
Founder’s Day, 2007
University of Portland School of Engineering

2. Agenda Introduction Matt Background Matt Methods Will Results Will
Conclusions Adam
Demonstration Adam
Founder’s Day, 2007
University of Portland School of Engineering

3. Introduction
Goal: Develop alternative method of searching images based on content rather than keywords.
Why?: Current methods can provide unrelated results, based on incorrect labeling by humans.
Founder’s Day, 2007
University of Portland School of Engineering

4. Background Current image searching relies on surrounding
keywords and metadata
(i.e. Google Image Search)
Founder’s Day, 2007
University of Portland School of Engineering

5. Background (continued)
VS.
= are these images similar?
Our method analyzes the individual pixels
and compares two images based on their
content
Founder’s Day, 2007
University of Portland School of Engineering

6. Methods Project Approval Questions we asked ourselves First Step
Second Step
Prototyping
Founder’s Day, 2007
University of Portland School of Engineering

7. Methods (continued) Third Step Code, Code, Code Testing
Prototype Release

8. Results Simple Architecture process input file compare histograms
Founder’s Day, 2007
University of Portland School of Engineering

9. Results (continued)
Data we collect
and compare: A B

10. Results, cont. Subject Testing
Our early goal for testing
Results:
group of 15 test subjects ranging majors from Finance to History, as well as a mesh of various Engineering majors.
Displayed 20 images from our set to the subjects
Average of 79% relevant results

11. Results (continued) Comments received
‘“I like the simplicity”
“Very innovative”
“Great look to site, easy to handle”
“Overall, awesome”

12. Conclusions
Developed alternative method of searching images based on content rather than keywords.
Our method analyzes the individual pixels and compares two images based on content
Subject testing a success
Founder’s Day, 2007
University of Portland School of Engineering

13. Demonstration
The submitted image will be the image atop the tabled results (larger image) The resulting set will be below the submitted.
Images were gathered from a similar project from Stanford.
1000 images ranging from elephants, buses, buildings, beaches, and an assorted of other animals and scenes.
Founder’s Day, 2007
University of Portland School of Engineering

14. Are there any questions?
Thank You.
Are there any questions?
Founder’s Day, 2007
University of Portland School of Engineering