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Please use this identifier to cite or link to this item: http://hdl.handle.net/2328/8010

Title: A non-expert organised visual database: a case study in using the Amazon metric to search images
Authors: Puade, Onn Azraai
Wyeld, Theodor
Keywords: Amazon metric
3D visual database
Image database
Issue Date: Jul-2007
Publisher: IEEE
Citation: Proceedings of the 11th IEEE International Conference on Information Visualisation (IV 07), Zurich, Switzerland, 04-06 July 2007, pp. 431-435
Abstract: In a previous paper the notion of 'using the Amazon metric to construct an image database based on what people do, not what they say' was introduced (see [1]). In that paper we described a case study setting where 20 participants were asked to arrange a collection of 60 images from most to least similar. We found they organised them in many different ways for many different reasons. Using Wexelblat's [2] semantic dimensions as axes for visualisation in conjunction with the Amazon metric we were able to identify common clusters of images according to expert and non-expert orderings. This second study describes the construction of a visual database based on the results of the first case study's non-expert participants' organising strategies and rationales. The same participants from the first study were invited to search for 'remembered' images in the visual database. A better understanding was gained of their detailed reasonings behind their choices. This led to the development of a non-expert organised visual database that proved to be useful to the non-expert user.This paper concludes with some recommendations for future research into developing a non-expert, selforganising, visual, image database using multiple thesauri, based on these core studies.
URI: http://hdl.handle.net/2328/8010
ISBN: 9780769529004
Appears in Collections:1902 - Film, Television and Digital Media
1799 - Other Psychology and Cognitive Science
Screen and Media - Collected Works
1902 - Film, Television and Digital Media
1799 - Other Psychology and Cognitive Sciences

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