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    A four-factor user interaction model for content-based image retrieval

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    Authors
    Liu, Haiming
    Uren, Victoria
    Song, Dawei
    Ruger, Stefan
    Issue Date
    2009
    
    Metadata
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    Abstract
    In order to bridge the "Semantic gap", a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we propose a four-factor user interaction model and investigate its effects on CBIR by an empirical evaluation. Whilst the model was developed for our research purposes, we believe the model could be adapted to any content-based search system.
    Citation
    Liu, H., Uren, V., Song, D. and Ruger, S. (2009) 'A Four-factor User Interaction Model for Content-Based Image Retrieval', ICTIR '09 Proceedings of the 2nd International Conference on Theory of Information Retrieval: Advances in Information Retrieval Theory, pp.297-304
    Publisher
    Springer-Verlag Berlin Heidelberg
    URI
    http://hdl.handle.net/10547/297904
    DOI
    10.1007/978-3-642-04417-5_29
    Additional Links
    http://dl.acm.org/citation.cfm?id=1612371
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9783642044168
    ae974a485f413a2113503eed53cd6c53
    10.1007/978-3-642-04417-5_29
    Scopus Count
    Collections
    Centre for Research in Distributed Technologies (CREDIT)

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