Automatic Video Genre Categorization using Hierarchical SVM

  title={Automatic Video Genre Categorization using Hierarchical SVM},
  author={Xun Yuan and Wei Lai and Tao Mei and Xian-Sheng Hua and Xiuqing Wu and Shipeng Li},
  journal={2006 International Conference on Image Processing},
This paper presents an automatic video genre categorization scheme based on the hierarchical ontology on video genres. Ten computable spatio-temporal features are extracted to distinguish the different genres using a hierarchical support vector machines (SVM) classifier built by cross-validation, which consists of a series of SVM classifiers united in a binary-tree form. As the order and genre partition strategy of the SVM classifier series affect the over performance of the united classifier… CONTINUE READING
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