Abstract
This work explores the analogies between an Information Retrieval (IR) task and the process of measuring an observable quantity in Quantum Mechanics (QM) applied to digital images represented by MPEG-7 Visual Descriptors. Clusters of images are described as superpositions of vectors, taking into account the distribution of the feature values of all the members. Similarity scores are computed making use of the geometric structure of Hilbert spaces with part of the rules of QM and used to compute cluster assignments. A software prototype has been developed to test the method.
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© 2011 Springer-Verlag Berlin Heidelberg
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Todarello, E.M., Allasia, W., Stroppiana, M. (2011). MPEG-7 Features in Hilbert Spaces: Querying Similar Images with Linear Superpositions. In: Song, D., Melucci, M., Frommholz, I., Zhang, P., Wang, L., Arafat, S. (eds) Quantum Interaction. QI 2011. Lecture Notes in Computer Science, vol 7052. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24971-6_24
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DOI: https://doi.org/10.1007/978-3-642-24971-6_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24970-9
Online ISBN: 978-3-642-24971-6
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