Reducing Manual Feedback in a Distributed CBIR System

Authors:
Ivan Lee;Paisarn Muneesawang
Affiliations:
University of South Australia, Australia;Naresuan University, Phitsanulok, Thailand
Venue:
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Year:
2009

Citing 5
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Abstract

This paper presents a study of user interactivity for content-based image retrieval. A single-click relevance feedback technique is examined in this paper, and its retrieval precision is evaluated against conventional multi-click relevance feedback. Given that single-click relevance feedback speeds up manual selection process, self-organizing tree map is used to cluster the image database, to reduce the computational load in the proposed system. A retrieval precision versus number of clicks comparison is examined in this paper to compare the relative retrieval precisions of both techniques under same levels of manual interactions.