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@TECHREPORT{chen-rr0307,
                      author = {Chen, Datong and Odobez, Jean-Marc},
                    projects = {Idiap},
                       month = {1},
                       title = {{M}onte {C}arlo {V}ideo {T}ext {S}egmentation},
                        type = {Idiap-RR},
                      number = {Idiap-RR-07-2003},
                        year = {2003},
                 institution = {IDIAP},
                    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},
ipdmembership={vision},
}