The Open UniversitySkip to content
 

Tensor product of correlated text and visual features: a quantum theory inspired image retrieval framework

Wang, Jun; Song, Dawei and Kaliciak, Leszek (2010). Tensor product of correlated text and visual features: a quantum theory inspired image retrieval framework. In: AAAI-Fall 2010 Symposium on Quantum Informatics for Cognitive, Social, and Semantic Processes (QI2010), 11-13 November 2010, Washington DC, USA.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (165Kb) | Preview
URL: http://www.aaai.org/ocs/index.php/FSS/FSS10/paper/...
Google Scholar: Look up in Google Scholar

Abstract

In multimedia information retrieval, where a document may contain textual and visual content features, the ranking of documents is often computed by heuristically combining the feature spaces of different media types or combining the ranking scores computed independently from different feature spaces. In this paper, we propose a principled approach inspired by Quantum Theory. Specifically, we propose a tensor product based model aiming to represent text and visual content features of an image as a non-separable composite system. The ranking scores of the images are then computed in the form of a quantum measurement. In addition, the correlations between features of different media types are incorporated in the framework. Experiments on ImageClef2007 show a promising performance of the tensor based approach.

Item Type: Conference Item
Copyright Holders: 2010 Association for the Advancement of Artificial Intelligence
Extra Information: pp.109-116
Academic Unit/Department: Mathematics, Computing and Technology > Computing & Communications
Mathematics, Computing and Technology
Related URLs:
Item ID: 35130
Depositing User: Dawei Song
Date Deposited: 01 Nov 2012 11:02
Last Modified: 13 Nov 2012 10:39
URI: http://oro.open.ac.uk/id/eprint/35130
Share this page:

Actions (login may be required)

View Item
Report issue / request change

Policies | Disclaimer

© The Open University   + 44 (0)870 333 4340   general-enquiries@open.ac.uk