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 [BibTeX] [Marc21]
Monte Carlo Video Text Segmentation
Type of publication: Idiap-RR
Citation: chen-rr0307
Number: Idiap-RR-07-2003
Year: 2003
Month: 1
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.
Userfields: ipdmembership={vision},
Projects Idiap
Authors Chen, Datong
Odobez, Jean-Marc
Added by: [UNK]
Total mark: 0
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