Enabling Effective User Interactions in Content-Based Image Retrieval

Authors:
Haiming Liu;Srđan Zagorac;Victoria Uren;Dawei Song;Stefan Rüger
Affiliations:
Knowledge Media Institute, The Open University, Milton Keynes, UK MK7 6AA;Knowledge Media Institute, The Open University, Milton Keynes, UK MK7 6AA;Knowledge Media Institute, The Open University, Milton Keynes, UK MK7 6AA;School of Computing, The Robert Gordon University, Aberdeen, UK AB25 1HG;Knowledge Media Institute, The Open University, Milton Keynes, UK MK7 6AA
Venue:
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Year:
2009

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Abstract

This paper presents an interactive content-based image retrieval framework--uInteract, for delivering a novel four-factor user interaction model visually. The four-factor user interaction model is an interactive relevance feedback mechanism that we proposed, aiming to improve the interaction between users and the CBIR system and in turn users overall search experience. In this paper, we present how the framework is developed to deliver the four-factor user interaction model, and how the visual interface is designed to support user interaction activities. From our preliminary user evaluation result on the ease of use and usefulness of the proposed framework, we have learnt what the users like about the framework and the aspects we could improve in future studies. Whilst the framework is developed for our research purposes, we believe the functionalities could be adapted to any content-based image search framework.