Painter Identification Using Local Features and Naive Bayes

  title={Painter Identification Using Local Features and Naive Bayes},
  author={Daniel Keren},
  journal={Pattern Recognition Letters},
The goal of this paper is to offer a framework for classification of images and video according to their “type”, or “style” – a problem which is hard to define, but easy to illustrate; for example, identifying an artist by the style of his/her painting, or determining the activity in a video sequence. The paper offers a simple classification paradigm based on local properties of spatial or spatio-temporal blocks. The learning and classification are based on the naive Bayes classifier. A few… CONTINUE READING

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