Abstract
In this paper we consider episodic memory for system design in image retrieval. Time and location are the main factors in episodic memory, and these types of data were combined for image event clustering. We conducted a user studies to compare five image browsing systems using searching time and user satisfaction as criteria for success. Our results showed that the browser which clusters images based on time and location data combined was significantly better than four other more standard browsers. This suggests that episodic memory is potentially useful for improving personal image management.
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Chen, C., Oakes, M., Tait, J. (2006). Browsing Personal Images Using Episodic Memory (Time + Location). In: Lalmas, M., MacFarlane, A., Rüger, S., Tombros, A., Tsikrika, T., Yavlinsky, A. (eds) Advances in Information Retrieval. ECIR 2006. Lecture Notes in Computer Science, vol 3936. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11735106_32
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DOI: https://doi.org/10.1007/11735106_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33347-0
Online ISBN: 978-3-540-33348-7
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