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Unsupervised saliency detection based on 2D Gabor and Curvelets transforms

Published: 05 August 2011 Publication History

Abstract

Construction of saliency map in multimedia data is useful for applications in multimedia like object segmentation, quality assessment, and object recognition. In this paper, we propose a novel saliency map model called Gabor & Curvelets based Saliency Map (GCSMP) relying on 2D Gabor and Curvelet transforms. Compared with the traditional model based on DOG and wavelets, our model takes advantage of Garbor transforms's spatial localization and Curvelet transform's edge and directional information. We also discuss the influence of center bias and object detectors in our model. Empirical validations on standard dataset demonstrate the effectiveness of the proposed technique.

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Cited By

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  • (2017)An efficient visual saliency detection model based on Ripplet transformSādhanā10.1007/s12046-017-0627-742:5(671-685)Online publication date: 10-Mar-2017

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  1. Unsupervised saliency detection based on 2D Gabor and Curvelets transforms

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    cover image ACM Other conferences
    ICIMCS '11: Proceedings of the Third International Conference on Internet Multimedia Computing and Service
    August 2011
    208 pages
    ISBN:9781450309189
    DOI:10.1145/2043674
    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]

    Sponsors

    • Sichuan University
    • Chinese Academy of Sciences
    • SCF: Sichuan Computer Federation
    • Southwest Jiaotong University
    • Beijing ACM SIGMM Chapter

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 August 2011

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    Author Tags

    1. 2D garbor
    2. Curvelet transform
    3. saliency map

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    • Research-article

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    • Video Retargeting using Spatiotemporal Optimization

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    ICIMCS '11
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    • SCF

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    Overall Acceptance Rate 163 of 456 submissions, 36%

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    • (2017)An efficient visual saliency detection model based on Ripplet transformSādhanā10.1007/s12046-017-0627-742:5(671-685)Online publication date: 10-Mar-2017

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