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.
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© 2009 Springer-Verlag Berlin Heidelberg
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Lee, I., Muneesawang, P. (2009). Reducing Manual Feedback in a Distributed CBIR System. In: Muneesawang, P., Wu, F., Kumazawa, I., Roeksabutr, A., Liao, M., Tang, X. (eds) Advances in Multimedia Information Processing - PCM 2009. PCM 2009. Lecture Notes in Computer Science, vol 5879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10467-1_86
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DOI: https://doi.org/10.1007/978-3-642-10467-1_86
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10466-4
Online ISBN: 978-3-642-10467-1
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