Ego-similarity measurement for relevance feedback

Authors:
Chu-Hui Lee;Meng-Feng Lin
Affiliations:
Department of Information Management, Chaoyang University of Technology, Taichung County 413, Taiwan, ROC;Graduate Institute of Informatics, Chaoyang University of Technology, Taichung County 413, Taiwan, ROC
Venue:
Expert Systems with Applications: An International Journal
Year:
2010

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Abstract

Relevance Feedback in Content-Based Image Retrieval is an active field of research. Many mechanisms of Relevance Feedback exist with many interactive techniques and implement criteria. In this paper, we proposed a novel approach of RF which can set adaptive weights of similarity measurement for each database image from the user feedback, i.e. ego-similarity measurement. We would explore the feedback records were archived in the two different ways that stored along with query images (QRF-based) or along with each retrieved relevant image from the image database (DBRF-based). In the experiment, DBRF-based relevant feedback improved greatly in the retrieval effectiveness.