John R. Smith, Shih-Fu Chang. VisualSEEk: a Fully Automated Content-Based Image Query System. In ACM Multimedia, Boston, MA, November 1996.
Download paper: Adobe portable document (pdf)
Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.
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 e cient 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
@InProceedings{dvmmPub150,
Author = {Smith, John R. and Chang, Shih-Fu},
Title = {VisualSEEk: a Fully Automated Content-Based Image Query System},
BookTitle = {ACM Multimedia},
Address = {Boston, MA},
Month = {November},
Year = {1996}
}
Get EndNote Reference (.ref)
For problems or questions regarding this web site contact The
Web Master.
This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).