A statistical framework for fusing mid-level perceptual features in news story segmentation

@inproceedings{Hsu2003ASF,
  title={A statistical framework for fusing mid-level perceptual features in news story segmentation},
  author={Winston H. Hsu and Shih-Fu Chang},
  booktitle={ICME},
  year={2003}
}
News story segmentation is essential for video indexing, summarization and intelligence exploitation. In this paper, we present a general statistical framework, called exponential model or maximum entropy model, that can systematically select the most significant mid-level features of various types (visual, audio, and semantic) and learn the optimal ways in fusing their combinations in story segmentation. The model utilizes a family of weighted, exponential functions to account for the… CONTINUE READING
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