Enabling effective user interactions in content-based image retrieval

Haiming Liu, Srđan Zagorac, Victoria Uren, Dawei Song, Stefan Rüger

Research output: Chapter in Book/Published conference outputConference publication


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.
Original languageEnglish
Title of host publicationInformation retrieval technology
Subtitle of host publication5th Asia Information Retrieval Symposium, AIRS 2009, Sapporo, Japan, October 21-23, 2009. Proceedings
EditorsGary Geunbae Lee, Dawei Song, Chin-Yew Lin, Akiko Aizawa, Kazuko Kuriyama, Masaharu Yoshioka, Tetsuya Sakai
Place of PublicationBerlin (DE)
Number of pages12
Volume5839 LNCS
ISBN (Electronic)978-3-642-04769-5
ISBN (Print)978-3-642-04768-8
Publication statusPublished - 2009
Event5th Asia Information Retrieval Symposium - Sapporo, Japan
Duration: 2 Oct 200923 Oct 2009

Publication series

NameLecture notes in computer science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference5th Asia Information Retrieval Symposium
Abbreviated titleAIRS 2009


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