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Multidimensional Descriptor Indexing: Exploring the BitMatrix

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Image and Video Retrieval (CIVR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4071))

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Abstract

Multimedia retrieval brings new challenges, mainly derived from the mismatch between the level of the user interaction—high-level concepts, and that of the automatically processed descriptors—low-level features. The effective use of the low-level descriptors is therefore mandatory. Many data structures have been proposed for managing the representation of multidimensional descriptors, each geared toward efficiency in some set of basic operations. The paper introduces a highly parametrizable structure called the BitMatrix, along with its search algorithms. The BitMatrix is compared with existing methods, all implemented in a common framework . The tests have been performed on two datasets, with parameters covering significant ranges of values. The BitMatrix has proved to be a robust and flexible structure that can compete with other methods for multidimensional descriptor indexing.

Partially supported by FCT under project POSC/EIA/61109/2004 (DOMIR).

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Calistru, C., Ribeiro, C., David, G. (2006). Multidimensional Descriptor Indexing: Exploring the BitMatrix. In: Sundaram, H., Naphade, M., Smith, J.R., Rui, Y. (eds) Image and Video Retrieval. CIVR 2006. Lecture Notes in Computer Science, vol 4071. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788034_41

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  • DOI: https://doi.org/10.1007/11788034_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36018-6

  • Online ISBN: 978-3-540-36019-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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