Incorporating Spatial Correlogram into Bag-of-Features Model for Scene Categorization
Incorporating Spatial Correlogram into Bag-of-Features Model for Scene Categorization
复制标题
将空间相关图纳入特征袋模型中以进行场景分类
DOI：
10.1007/978-3-642-12307-8_31
复制
发表时间：
2009
期刊：
影响因子：
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通讯作者：
X. Xue
中科院分区：
文献类型：
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作者：
Yingbin Zheng;Hong Lu;Cheng Jin;X. Xue
提出了一种用于场景分类的特征包模型中的码本词汇表示方法。传统的特征包模型将图像描述为码本词汇出现率的直方图。在该方法中，结合了码字之间的空间相关图来近似局部几何信息。这是通过使用成对兴趣区域的距离分布来增强传统词汇直方图来实现的。我们还将这种相关图表示与空间金字塔匹配相结合来描述局部和全局几何对应关系。实验结果表明，相关图表示法优于特征袋模型的直方图表示法，并与空间金字塔匹配相结合，提高了分类的有效性。
This paper presents a novel approach to represent the codebook vocabulary in bag-of-features model for scene categorization. Traditional bag-of-features model describes an image as a histogram of the occurrence rate of codebook vocabulary. In our approach, spatial correlogram between codewords is incorporated to approximate the local geometric information. This works by augmenting the traditional vocabulary histogram with the distance distribution of pairwise interest regions. We also combine this correlogram representation with spatial pyramid matching to describe both local and global geometric correspondences. Experimental results show that correlogram representation can outperform the histogram scheme for bag-of-features model, and the combination with spatial pyramid matching improves effectiveness for categorization.
DOI：
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发表时间：
2002
期刊：
2020 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD)
影响因子：
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作者：
Gabriella Csurka;C. Dance;Lixin Fan;J. Willamowski;Cédric Bray
通讯作者：
Gabriella Csurka;C. Dance;Lixin Fan;J. Willamowski;Cédric Bray