TY - GEN
T1 - Texture-based text location for video indexing
AU - Jung, Keechul
AU - Han, Junghyun
PY - 2000
Y1 - 2000
N2 - 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.
AB - 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.
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M3 - Conference contribution
AN - SCOPUS:84944088510
SN - 3540414509
SN - 9783540414506
VL - 1983
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 449
EP - 454
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
T2 - 2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000
Y2 - 13 December 2000 through 15 December 2000
ER -