Automatic Video Text Localization and Recognition

For the indexing and management of large scale video databases an important tool would be the text in the digital media. In this work, the localization performances of the overlay texts using different feature extraction methods with different classifiers are analyzed. Besides that in order to improve the text recognition rate by using multiple hipothesis obtained from multilevel segmentation and using statistical language model are investigated.