research-article

Similarity matrix compression for efficient signature quadratic form distance computation

Authors:

Christian Beecks,

Merih Seran Uysal,

Thomas SeidlAuthors Info & Claims

SISAP '10: Proceedings of the Third International Conference on SImilarity Search and APplications

Pages 109 - 114

https://doi.org/10.1145/1862344.1862361

Published: 18 September 2010 Publication History

Abstract

Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art similarity measures, the Signature Quadratic Form Distance has shown good applicability and high quality in comparing flexible feature representations. In order to improve the efficiency of the Signature Quadratic Form Distance, we propose the similarity matrix compression approach which aims at compressing the distance's inherent similarity matrix. We theoretically show how to reduce the complexity of distance computations and benchmark computation time improvements. As a result, we improve the efficiency of a single distance computation by a factor up to 9.

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Cited By

Kumar SMallik ASengar S(2022)Community detection in complex networks using stacked autoencoders and crow search algorithmThe Journal of Supercomputing10.1007/s11227-022-04767-y79:3(3329-3356)Online publication date: 2-Sep-2022
https://doi.org/10.1007/s11227-022-04767-y
Aguilar ALozoya COrona L(2019)A hamming distance and fuzzy logic-based algorithm for P2P content distribution in enterprise networksPeer-to-Peer Networking and Applications10.1007/s12083-018-0711-8Online publication date: 22-Feb-2019
https://doi.org/10.1007/s12083-018-0711-8
Beecks CUysal MHermanns JSeidl TBailey JMoffat AAggarwal Cde Rijke MKumar RMurdock VSellis TYu J(2015)Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia DatabasesProceedings of the 24th ACM International on Conference on Information and Knowledge Management10.1145/2806416.2806459(1241-1250)Online publication date: 17-Oct-2015
https://dl.acm.org/doi/10.1145/2806416.2806459
Show More Cited By

Index Terms

Similarity matrix compression for efficient signature quadratic form distance computation
1. Information systems
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory
      1. Database query processing and optimization (theory)

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cover image ACM Other conferences

SISAP '10: Proceedings of the Third International Conference on SImilarity Search and APplications

September 2010

130 pages

ISBN:9781450304207

DOI:10.1145/1862344

Program Chairs:
Paolo Ciaccia
Università di Bologna
,
Marco Patella
Università di Bologna

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Bilkent University: Bilkent University
Mexican Computer Science Society

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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 September 2010

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SISAP '10

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Bilkent University

SISAP '10: 3rd International Workshop on Similarity Search and Applications

September 18 - 19, 2010

Istanbul, Turkey

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Cited By

Kumar SMallik ASengar S(2022)Community detection in complex networks using stacked autoencoders and crow search algorithmThe Journal of Supercomputing10.1007/s11227-022-04767-y79:3(3329-3356)Online publication date: 2-Sep-2022
https://doi.org/10.1007/s11227-022-04767-y
Aguilar ALozoya COrona L(2019)A hamming distance and fuzzy logic-based algorithm for P2P content distribution in enterprise networksPeer-to-Peer Networking and Applications10.1007/s12083-018-0711-8Online publication date: 22-Feb-2019
https://doi.org/10.1007/s12083-018-0711-8
Beecks CUysal MHermanns JSeidl TBailey JMoffat AAggarwal Cde Rijke MKumar RMurdock VSellis TYu J(2015)Gradient-based Signatures for Efficient Similarity Search in Large-scale Multimedia DatabasesProceedings of the 24th ACM International on Conference on Information and Knowledge Management10.1145/2806416.2806459(1241-1250)Online publication date: 17-Oct-2015
https://dl.acm.org/doi/10.1145/2806416.2806459
Hetland MSkopal TLokoč JBeecks C(2013)Ptolemaic access methods: Challenging the reign of the metric space modelInformation Systems10.1016/j.is.2012.05.01138:7(989-1006)Online publication date: Oct-2013
https://doi.org/10.1016/j.is.2012.05.011
Emrich TJossé GKriegel HMauder MNiedermayer JRenz MSchubert MZüfle A(2013)Optimal Distance Bounds for the Mahalanobis DistanceProceedings of the 6th International Conference on Similarity Search and Applications - Volume 819910.1007/978-3-642-41062-8_18(175-181)Online publication date: 2-Oct-2013
https://dl.acm.org/doi/10.1007/978-3-642-41062-8_18
Lokoč JHetland MSkopal TBeecks CFerro A(2011)Ptolemaic indexing of the signature quadratic form distanceProceedings of the Fourth International Conference on SImilarity Search and APplications10.1145/1995412.1995417(9-16)Online publication date: 30-Jun-2011
https://dl.acm.org/doi/10.1145/1995412.1995417

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