CONF chen-icip03/IDIAP Sequential Monte Carlo Video Text Segmentation Chen, Datong Odobez, Jean-Marc EXTERNAL http://publications.idiap.ch/attachments/reports/2003/rr03-07.pdf PUBLIC ICIP 2003 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.