An interactive approach to image retrieval using multiple seed images

Author

Wan, Xia ; Kuo, C. C Jay

Author_Institution

Integrated Media Syst. Center, Univ. of Southern California, Los Angeles, CA, USA

Volume

2

fYear

1998

fDate

4-7 Oct 1998

Firstpage

775

Abstract

The concept, procedure and tools for interactive image retrieval with multiple seed images are investigated in this research. Specifically, we consider an interactive query process in which the query can be refined so that the meaning of “similarity”: defined by a specific user for a particular application can be approached gradually. This idea is implemented by performing adaptive filtering with multiple low level indexing features based on user´s feedback. The proposed approach is demonstrated by a testbed with flexible query formation, efficient initial guess and further refinement tools

Keywords

adaptive filters; content-based retrieval; indexing; interactive systems; visual databases; adaptive filtering; flexible query formation; image retrieval; interactive approach; interactive query process; multiple low level indexing features; multiple seed images; similarity; Adaptive filters; Electronic switching systems; Feedback; Histograms; Image databases; Image retrieval; Indexing; Query processing; Testing; Visual databases;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on

Conference_Location

Chicago, IL

Print_ISBN

0-8186-8821-1

Type

conf

DOI

10.1109/ICIP.1998.723656

Filename

723656