Summary

We describe a highly functional prototype system for searching by visual features in an image database. The VisualSEEk system is novel in that the user forms the queries by diagramming spatial arrangements of color regions. The system finds the images that contain the most similar arrangements of similar regions. Prior to the queries, the system automatically extracts and indexes salient color regions from the images. By utilizing efficient indexing techniques for color information, region sizes and absolute and relative spatial locations, a wide variety of complex joint color/spatial queries may be computed.

People

John R. Smith

Shih-Fu Chang

Detailed Page

Link to detailed descriptions

Related Projects

VideoQ - A fully Automated Object-Oriented Content-based Video Search Engine
[project] [demo]

WebSEEk - Web Image / Video Search Engine
[project] [demo]

Publication

John R. Smith, Shih-Fu Chang. VisualSEEk: a Fully Automated Content-Based Image Query System. In ACM Multimedia, Boston, MA, November 1996. [abstract] [pdf]

John R. Smith, Shih-Fu Chang. Tools and Techniques for Color Image Retrieval. In IS&T/SPIE Symposium on Electronic Imaging: Science and Technology (EI'96) - Storage and Retrieval for Image and Video Databases IV, Volume 2670, San Jose, CA, February 1996. [abstract] [pdf]

For problems or questions regarding this web site contact The Web Master.
Last updated: June 12, 2002.