Texture-based text location for video indexing

Keechul Jung, Junghyun Han

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


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 publicationIntelligent Data Engineering and Automated Learning - IDEAL 2000
Subtitle of host publicationData Mining, Financial Engineering, and Intelligent Agents - 2nd International Conference, Proceedings
EditorsKwong Sak Leung, Lai-Wan Chan, Helen Meng
PublisherSpringer Verlag
Number of pages6
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)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2000
Country/TerritoryHong Kong
CityShatin, N.T.

Bibliographical note

Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2000.

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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