Region-Based Caption Text Extraction

  • Miriam Leon
  • Veronica Vilaplana
  • Antoni Gasull
  • Ferran Marques
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 158)

Abstract

This chapter presents a method for caption text detection. The proposed method will be included in a generic indexing system dealing with other semantic concepts which are to be automatically detected as well. To have a coherent detection system, the various object detection algorithms use a common image description, a hierarchical region-based image model. The proposed method takes advantage of texture and geometric features to detect the caption text. Texture features are estimated using wavelet analysis and mainly applied for text candidate spotting. In turn, text characteristics verification relies on geometric features, which are estimated exploiting the region-based image model. Analysis of the region hierarchy provides the final caption text objects. The final step of consistency analysis for output is performed by a binarization algorithm that robustly estimates the thresholds on the caption text area of support.

Keywords

Text detection and localization Binary Partition Tree 

Notes

Acknowledgments

This work was partially founded by the Catalan Broadcasting Corporation (CCMA) and Mediapro through the Spanish project CENIT-2007-1012 i3media and TEC2007-66858/TCM PROVEC of the Spanish Government.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Miriam Leon
    • 1
  • Veronica Vilaplana
    • 1
  • Antoni Gasull
    • 1
  • Ferran Marques
    • 1
  1. 1.Technical University of CataloniaBarcelonaSpain

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