@inproceedings{b0309ae92e194c7e9bfd43ec8ca861c4,
title = "Texture-based text location for video indexing",
abstract = "This paper proposes texture-based text location methods with a neural network (NN) and a Support Vector Machine (SVM). Both a NN and an SVM are employed to train a set of texture discrimination masks for the given texture classes: text region and non-text region. In these two approaches, feature extraction stage is not used as opposed to most traditional text location schemes, and discrimination filters for several environments can be automatically constructed. Comparisons between NN/SVM-based text location methods and a connected component method are presented.",
author = "Keechul Jung and Junghyun Han",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2000.; 2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000 ; Conference date: 13-12-2000 Through 15-12-2000",
year = "2000",
doi = "10.1007/3-540-44491-2_65",
language = "English",
isbn = "3540414509",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "449--454",
editor = "Leung, {Kwong Sak} and Lai-Wan Chan and Helen Meng",
booktitle = "Intelligent Data Engineering and Automated Learning - IDEAL 2000",
}