Publication

Sequential Monte Carlo Video Text Segmentation

Jean-Marc Odobez, Datong Chen
2003
Conference paper

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.

Official source

https://infoscience.epfl.ch/record/82880?ln=en

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Sequential Monte Carlo Video Text Segmentation

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