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         author = {Chen, Datong and Odobez, Jean-Marc},
       projects = {Idiap},
          title = {{S}equential {M}onte {C}arlo {V}ideo {T}ext {S}egmentation},
      booktitle = {ICIP},
           year = {2003},
       abstract = {This paper presents a probabilistic algorithm for segmenting text embedded in video based on Monte Carlo sampling. The algorithm approximates the posterior of segmentation thresholds of video text by a set of weighted samples, referred to as particles. The set of samples is initialized by applying a traditional segmentation algorithm on the first video frame and further refined by random sampling under a temporal Bayesian framework. Results on a database of 6944 images demonstrated the validity of the algorithm.},
            pdf = {https://publications.idiap.ch/attachments/reports/2003/rr03-07.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2003/rr03-07.ps.gz},