MPEG-7 XM颜色描述符在基于内容的语义图像分类检索中的实证评价

T. Ojala, Markus Aittola, Esa Matinmikko
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引用次数: 37

摘要

本文针对基于内容的语义图像类别检索这一具有挑战性的问题,对MPEG-7实验模型视觉部分(XM)颜色描述符进行了实证评价。将当前XM参考实现中提供的四种颜色描述符(颜色布局、颜色结构、主色和可扩展色)的性能与HSV自相关图的性能进行了比较,HSV自相关图在最近的实证研究中取得了不错的成绩。实验结果表明,Color Structure提供了最好的检索精度,而计算代价最高的描述符Dominant Color在该问题中是最差的。
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Empirical evaluation of MPEG-7 XM color descriptors in content-based retrieval of semantic image categories
This paper conducts an empirical evaluation of MPEG-7 visual part of experimentation model (XM) color descriptors in a challenging problem of content-based retrieval of semantic image categories. The performance of the four color descriptors provided in the current XM reference implementation, Color Layout, Color Structure, Dominant Color and Scalable Color is compared to that of HSV autocorrelogram, which has done well in recent empirical studies. Experimental results show that Color Structure provides best retrieval accuracy, whereas the computationally most expensive descriptor Dominant Color is worst in this problem.
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