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GPU acceleration of Eff² descriptors using CUDA

Authors:

Laurent AmsalegAuthors Info & Claims

MM '10: Proceedings of the 18th ACM international conference on Multimedia

Pages 1167 - 1170

https://doi.org/10.1145/1873951.1874178

Published: 25 October 2010 Publication History

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Abstract

Video analysis using local descriptors requires a high-throughput descriptor creation process. This speed can be obtained from modern GPUs. In this paper, we adapt the computation of the Eff2 descriptors, a SIFT variant, to the GPU. We compare our GPU-Eff descriptors to SiftGPU and show that while both variants yield similar results, the GPU-Eff descriptors require significantly less processing time.

References

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H. Bay, A. Ess, T. Tuytelaars, and L. Van Gool. SURF: Speeded Up Robust Features. Computer Vision and Image Understanding (CVIU), 110(3), 2008.

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N. Cornelis and L. Van Gool. Fast scale invariant feature detection and matching on programmable graphics hardware. In Computer Vision and Pattern Recognition Workshops, 2008.

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NVIDIA CUDA Programming Guide, Ver. 2.0, 2008.

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Y. Ke and R. Sukthankar. PCA-SIFT: A more distinctive representation for local image descriptors. In CVPR, Washington, DC, USA, 2004.

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H. Lejsek, F. H. Asmundsson, B. T. Jonsson, and L. Amsaleg. Scalability of local image descriptors: a comparative study. In Proc. of ACM Multimedia, 2006.

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S. N. Sinha, J.-M. Frahm, M. Pollefeys, and Y. Genc. GPU-based video feature tracking and matching. Technical report, UNC Chapel Hill, 2006.

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Cited By

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Li JPan Y(2019)GPU-based parallel optimization for real-time scale-invariant feature transform in binocular visual registrationPersonal and Ubiquitous Computing10.1007/s00779-019-01222-3Online publication date: 30-Apr-2019
https://doi.org/10.1007/s00779-019-01222-3
Essafi HHède PHamdan HToral-Cruz HAkleylek SMcheick HBoubiche D(2017)FRAMSTIMProceedings of the Second International Conference on Internet of things, Data and Cloud Computing10.1145/3018896.3018936(1-6)Online publication date: 22-Mar-2017
https://dl.acm.org/doi/10.1145/3018896.3018936
Lejsek HÞormóðsdóttir HÁsmundsson FDaðason KJóhannsson ÁJónsson BAmsaleg LBattiato SEmmanuel SUlges AWorring M(2010)Videntifier" ForensicProceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence10.1145/1877972.1877973(1-6)Online publication date: 29-Oct-2010
https://dl.acm.org/doi/10.1145/1877972.1877973

Index Terms

GPU acceleration of Eff² descriptors using CUDA
1. Computing methodologies
2. Software and its engineering
  1. Software notations and tools
    1. General programming languages
      1. Language types
        Parallel programming languages

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Published In

MM '10: Proceedings of the 18th ACM international conference on Multimedia

October 2010

1836 pages

ISBN:9781605589336

DOI:10.1145/1873951

General Chairs:
Alberto del Bimbo
University of Florence, Italy
,
Shih-Fu Chang
Columbia University, USA
,
Program Chair:
Arnold Smeulders
University of Amsterdam, NL

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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Association for Computing Machinery

New York, NY, United States

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Published: 25 October 2010

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MM '10: ACM Multimedia Conference

October 25 - 29, 2010

Firenze, Italy

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Li JPan Y(2019)GPU-based parallel optimization for real-time scale-invariant feature transform in binocular visual registrationPersonal and Ubiquitous Computing10.1007/s00779-019-01222-3Online publication date: 30-Apr-2019
https://doi.org/10.1007/s00779-019-01222-3
Essafi HHède PHamdan HToral-Cruz HAkleylek SMcheick HBoubiche D(2017)FRAMSTIMProceedings of the Second International Conference on Internet of things, Data and Cloud Computing10.1145/3018896.3018936(1-6)Online publication date: 22-Mar-2017
https://dl.acm.org/doi/10.1145/3018896.3018936
Lejsek HÞormóðsdóttir HÁsmundsson FDaðason KJóhannsson ÁJónsson BAmsaleg LBattiato SEmmanuel SUlges AWorring M(2010)Videntifier" ForensicProceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence10.1145/1877972.1877973(1-6)Online publication date: 29-Oct-2010
https://dl.acm.org/doi/10.1145/1877972.1877973

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A performance study of general-purpose applications on graphics processors using CUDA

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