Content-based Image Retrieval on the Web

Investor logo
Investor logo

Warning

This publication doesn't include Faculty of Arts. It includes Faculty of Informatics. Official publication website can be found on muni.cz.
Authors

NOVÁK David BATKO Michal ZEZULA Pavel

Year of publication 2008
Type Article in Proceedings
Conference Proceedings of the Poster and Demonstration Paper Track of the 1st Future Internet Symposium (FIS 2008)
MU Faculty or unit

Faculty of Informatics

Citation
Web http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-399/paper09.pdf
Field Informatics
Keywords similarity search; content-based search; image search; large-scale search; distributed data structures
Description We present and demonstrate capabilities of Multi-Feature Indexing Network (MUFIN), http://mufin.fi.muni.cz/. To achieve an independence of the similarity abstraction and the ability to process large collections of data, MUFIN is based on two basic paradigms: (1) the metric space model of similarity, and (2) the concept of structured Peer-to-Peer networks. In the demonstration we will show an interactive image retrieval system which indexes 50 million images - it is one or two orders of magnitude more than any other system designed to this purpose can do. Further more, the scalability of the system grows with constant complexity, which is very important for future internet technologies. To demonstrate the extensibility of the metric-based MUFIN approach we will show another prototype application: a face-recognition and retrieval system.
Related projects:

You are running an old browser version. We recommend updating your browser to its latest version.