Title :
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
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;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723656
