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In this chapter, we have investigated into the BoW and SPM framework for image classification. The target of BoW and SPM framework is to embed low-level descriptors in a representative codebook space. There are three main steps for generating the corresponding representation, which are feature extraction, coding and pooling. Each step within the framework can affect the quality of image representation and the following classification performance. We have introduced various coding and pooling methods.


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