A Remote Mycological Assistant

Author

Moreno, Ramón ; Graña, Manuel ; Veganzones, Miguel A.

Author_Institution

Basque Country Public Univ., Bilbao

fYear

2007

fDate

6-8 Sept. 2007

Firstpage

408

Lastpage

412

Abstract

Inspired in the active field of content based image retrieval (CBIR), we propose the design of a remote system for assisting mycological amateurs to categorize the mushroom samples they find in the nature. The query to a remote database will be performed through a mobile phone with incorporated digital camera. The system is a blend of CBIR and rule based expert system. In its current state of development we have implemented a shape based CBIR system complemented by a rule based expert system that achieves a high success rate over a in-house collected image database. The paper also describes the global system architecture.

Keywords

biology computing; content-based retrieval; expert systems; image retrieval; mobile computing; mobile handsets; software architecture; content based image retrieval; digital camera; global system architecture; in-house collected image database; mobile phone; mushroom samples; mycological amateurs; remote mycological assistant; remote system; rule based expert system; Content based retrieval; Expert systems; Feature extraction; Image databases; Image retrieval; Information retrieval; Mobile handsets; Multimedia databases; Multimedia systems; Testing; CBIR; Distributed Systems; Expert Systems; Mycology; Pattern Recognition; Remote Assistant;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2007. IDAACS 2007. 4th IEEE Workshop on

Conference_Location

Dortmund

Print_ISBN

978-1-4244-1347-8

Electronic_ISBN

978-1-4244-1348-5

Type

conf

DOI

10.1109/IDAACS.2007.4488449

Filename

4488449