基于词频统计特征和 GVP 的大规模图像检索算法研究 |
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引用本文: | 刘 宇,邓 亮,郭耕辰,冯良炳.基于词频统计特征和 GVP 的大规模图像检索算法研究[J].集成技术,2014,3(2):78-84. |
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作者姓名: | 刘 宇 邓 亮 郭耕辰 冯良炳 |
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作者单位: | 中国科学院深圳先进技术研究院 |
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基金项目: | 国家自然科学基金项目(61070147);深圳市科技研发资金基础研究计划(JC201105190951A) |
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摘 要: | 针对传统的GVP(Geometry-Preserving Visual Phrases)图像检索算法计算量大、时间复杂度高且不适合处理大规模图像检索等缺点,文章提出了FSF-GVP(Frequency Statistics Feature-Geometry-Preserving Visual Phrases)算法,该方法将词频统计特征和GVP算法相结合,使用GVP排序算法对词频特征统计后的相似结果集进行排序,忽略不相似结果集,极大地提高了检索效率。实验结果表明,FSF-GVP在保证检索准确性的前提下,提高了检索效率,适用于实时大规模图像检索。
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关 键 词: | 图像检索 词袋模型 |
Image Retrieval Using Feature Word Frequency Statistics of Geometry-Preserving Visual Phrases |
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Authors: | LIU Yu DENG Liang GUO Gengchen and FENG Liangbing |
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Affiliation: | LIU Yu;DENG Liang;GUO Gengchen;FENG Liangbing;Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences; |
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Abstract: | Traditional GVP (geometry-preserving visual phrases) image retrieval algorithm is not suitable for handling
the large-scale image retrieval because of its high time complexity. In this paper, FSF-GVP (frequency statistics featuregeometry-
preserving visual phrases) algorithm, which combined word frequency statistic characteristics and GVP
algorithm, was proposed. FSF-GVP algorithm counts visual word frequency characteristics of an image to be searched and
image database to get similar result set and dissimilar result set. Then FSF-GVP algorithm uses the GVP algorithm to sort
the similar result set, which improves the retrieval efficiency. The experiment results on Oxford 5K dataset show that FSFGVP
is suitable for the large-scale real-time image retrieval on the premise of ensuring the accuracy of retrieving result and
improving the retrieval efficiency. |
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Keywords: | geometry-preserving visual phrases bag of words |
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