A Bayesian Framework for Fusing Multiple Word Knowledge Models in Videotext Recognition

  title={A Bayesian Framework for Fusing Multiple Word Knowledge Models in Videotext Recognition},
  author={DongQing Zhang and Shih-Fu Chang},
Videotext recognition is challenging due to low resolution, diverse fonts/styles, and cluttered background. Past methods enhanced recognition by using multiple frame averaging, image interpolation and lexicon correction, but recognition using multi-modality language models has not been explored. In this paper, we present a formal Bayesian framework for videotext recognition by combining multiple knowledge using mixture models, and describe a learning approach based on Expectation-Maximization… CONTINUE READING
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