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This working notes paper describes our first participation in the ImageCLEF2010 Wikipedia Retrieval Task. In this task, we mainly test our Quantum Theory inspired retrieval function on cross media retrieval. Instead of heuristically combining the ranking scores independently from different media types, we develop a tensor product based model to represent textual and visual content features of an image as a non-separable composite system. Such system incorporates the statistical/semantic dependencies between certain features. Then the ranking scores of the images are computed in a way as quantum measurement does. Meanwhile, we also test a new local feature that we have developed for content based image retrieval.
|Item Type:||Conference Item|
|Copyright Holders:||2010 The Authors|
|Extra Information:||Martin Braschler, Donna Harman, Emanuele Pianta (Eds.)
|Academic Unit/Department:||Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
|Depositing User:||Dawei Song|
|Date Deposited:||15 Nov 2012 10:36|
|Last Modified:||04 Aug 2016 06:37|
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