Projects > Media Annotation > Simplicity
S I M P L I city
Semantics-sensitive Integrated Matching for Picture LIbraries
S I M P L I city
Semantics-sensitive Integrated Matching for Picture LIbraries (SIMPLIcity) is a content-based image search engine. Instead of searching for images based on keywords, the user first selects or inputs an image and then the system produces images from the database that have similar characteristics.
The implications of this technology may be applied in a wide array of areas. The user may not know what their friend labeled their vacation pictures, but after finding one picture of the beach the system is able to produce similar images. This is very beneficial when the user may not know the right keywords to use.
Project Heads
The project is being conducted at the Pennsylvania State University by Jia Li and James Z. Wang.
Project Background
This content-based image search engine was developed at Stanford University between 1999 and 2000. The line of research is on-going at Penn State.
Demonstration
The current database has about 200,000 images fromCOREL CD-ROM Collection. The images are shown here for research and viewing purposes, please DO NOT download or copy the images without permission from us.
NOTE: Please enable Java Script on your browser for full retrieval capability.
NOTE: this server is a single-CPU Pentium III and is often heavily loaded with background jobs. The response time may vary.
Demonstration to come!
Related Publications
- Jia Li, James Z. Wang, ``Automatic linguistic indexing of pictures by a statistical modeling approach,'' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9, pp. 1075-1088, 2003. (download)
- James Z. Wang, Jia Li, Gio Wiederhold, ``SIMPLIcity: Semantics-sensitive Integrated Matching for Picture LIbraries,'' IEEE Trans. on Pattern Analysis and Machine Intelligence, vol 23, no.9, pp. 947-963, 2001. (download)