IBM:
Qbic

System: http://wwwqbic.almaden.ibm.com

Berkeley:
Blobworld

System: http://elib.cs.berkeley.edu/photos/blobworld/
Biblio:
David A. Forsyth, Jitendra Malik, Margaret M. Fleck, Hayit Greenspan, Thomas Leung, Serge Belongie, Chad Carson, and Chris Bregler, Finding Pictures of Objects in Large Collections of Images, ECCV '96 Workshop on Object Representation, Cambridge, April 1996. [download]

MIT:
Photobook

System: http://www.media.mit.edu/~tpminka/photobook/
Biblio:
A. Pentland, R. Picard, and S. Sclaroff, Tools for Content-Based Manipulation of Image Databases, SPIE Storage and Retrieval of Image & Video Databases II, Feb 1994.  [download]

Colombia:
VisualSEEk 

System: http://disney.ctr.columbia.edu/SaFe/
Biblio:
J. R. Smith and S.-F. Chang, VisualSEEk: A Fully Automated Content-Based Image Query System, ACM Multimedia Conference, Boston, MA, Nov. 1996. [download]

Santa Barbara:
NETRA

System:  http://vivaldi.ece.ucsb.edu/
Biblio:
W. Y. Ma and B. S. Manjunath, " NETRA: A toolbox for navigating large image databases," in IEEE International Conference on Image Processing, 1997, and ACM Multimedia Systems journal  [download]

Stanford:

System:  http://robotics.stanford.edu/~rubner/
BIblio:
Y. Rubner, C. Tomasi, and L. J. Guibas. A Metric for Distributions with Applications to Image Databases. Proceedings of the 1998 IEEE International Conference on Computer Vision, Bombay, India, January 1998. [download]

Rutgers:
Image Guided Decision Support (IGDS)

System: http://www.caip.rutgers.edu/~comanici/jretrieval.html
Biblio:
D. Comaniciu, P. Meer and D. Foran, Image Guided Decision Support (IGDS) System, submitted to Machine Vision and Applications 1998 [download]

2.

Read 1-2 articles or technical reports that describe the chosen system.

3.

Write a short review, 1-2 pages text (strict!) + queries picture examples, about the system. In the review, address the following issues (those that are relevant to the chosen system):

a.

Describe input databases available in the system (content/size, etc..) & its flexibility to accept new, user defined, databases.

b.

Describe the query types possible in the system -

-
-
-

What feature types? (color, texture, shape, etc...
Can the user combine features?
Can the user provide preferences (e.g. prioritizing features)?

c.

Methods and algorithms used for indexing (no need to go into much detail)

d.

(**)The systems are available online or for download
(QBIC – download to PC, Photobook – sources available to be ftped to UNIX; Rutgers - read only)
Experiment with querying the system - you are now the User:

-
-
-

Describe several examples you were satisfied with.
Describe examples you considered as "wrong".
Do  you have special requests for improvement?