Compositional Model based Fisher Vector Coding for Image Classification.

IEEE Transactions on Pattern Analysis and Machine Intelligence(2017)

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摘要
Deriving from the gradient vector of a generative model of local features, Fisher vector coding (FVC) has been identified as an effective coding method for image classification. Most, if not all, FVC implementations employ the Gaussian mixture model (GMM) as the generative model for local features. However, the representative power of a GMM can be limited because it essentially assumes that local ...
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关键词
Encoding,Image coding,Feature extraction,Convolutional codes,Gaussian distribution,Image representation,Vectors,Image classification
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