Enabling Effective User Interactions in Content-Based Image Retrieval

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. Key words: uInteract, four-factor user interaction model, conte...

• Type: Conference
• Year: 2009
• Where: AIRS
• Authors: Haiming Liu 0002, Srdan Zagorac, Victoria S. Uren, Dawei Song, Stefan M. Rüger
• Keywords: AIRS 2009, Content-based Image Retrieval, Four-factor User Interaction, Information Management, User Interaction Model