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Image copy detection using a robust Gabor texture descriptor

  • Xi'an Jiaotong University

科研成果: 书/报告/会议事项章节会议稿件同行评审

10 引用 (Scopus)

摘要

In this paper, we propose a novel scale and rotation invariant Gabor texture descriptor for content-based image copy detection. Firstly, the Gabor filters with different orientations and scales using a fixed-size window are constructed. Secondly, the Discrete Fourier Transform is implemented on each image. The low-frequency region of an image with the fixed size is extracted, and is filtered by the Gabor filters with the same fixed-size window. Thirdly, a statistical feature of these Gabor-filtered images is extracted as a scale invariant Gabor texture descriptor. At last, the circular shift method is employed on the scale invariant feature to achieve the rotation invariance. Experimental results demonstrate that the proposed feature is effective to resist various types of image transformations, such as scaling, rotation, flip, cut, crop, intensity, contrast, texts-inserting, blurring, noise, shift, and various combined-attacks.

源语言英语
主期刊名1st ACM Workshop on Large-Scale Multimedia Retrieval and Mining, LS-MMRM 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
65-71
页数7
DOI
出版状态已出版 - 2009
活动1st ACM Workshop on Large-Scale Multimedia Retrieval and Mining, LS-MMRM 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09 - Beijing, 中国
期限: 19 10月 200924 10月 2009

丛书

姓名1st ACM Workshop on Large-Scale Multimedia Retrieval and Mining, LS-MMRM 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09

会议

会议1st ACM Workshop on Large-Scale Multimedia Retrieval and Mining, LS-MMRM 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
国家/地区中国
Beijing
时期19/10/0924/10/09

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