Texture-based text location for video indexing

Keechul Jung, Junghyun Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages449-454
Number of pages6
Volume1983
ISBN (Print)3540414509, 9783540414506
Publication statusPublished - 2000
Externally publishedYes
Event2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000 - Shatin, N.T., Hong Kong
Duration: 2000 Dec 132000 Dec 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1983
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000
CountryHong Kong
CityShatin, N.T.
Period00/12/1300/12/15

Fingerprint

Video Indexing
Support vector machines
Texture
Textures
Neural networks
Support Vector Machine
Neural Networks
Discrimination
Feature extraction
Masks
Connected Components
Feature Extraction
Mask
Filter
Text

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Jung, K., & Han, J. (2000). Texture-based text location for video indexing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1983, pp. 449-454). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1983). Springer Verlag.

Texture-based text location for video indexing. / Jung, Keechul; Han, Junghyun.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1983 Springer Verlag, 2000. p. 449-454 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1983).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jung, K & Han, J 2000, Texture-based text location for video indexing. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1983, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1983, Springer Verlag, pp. 449-454, 2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000, Shatin, N.T., Hong Kong, 00/12/13.
Jung K, Han J. Texture-based text location for video indexing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1983. Springer Verlag. 2000. p. 449-454. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Jung, Keechul ; Han, Junghyun. / Texture-based text location for video indexing. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1983 Springer Verlag, 2000. pp. 449-454 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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