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A Video Text Detection Method Based on Key Text Points

  • Zhi Li
  • Guizhong Liu
  • Xueming Qian
  • Chen Wang
  • Yana Ma
  • Yang Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6297)

Abstract

This paper proposes a novel video text detection method based on the key text points. For text detection, the keyframes is decomposed by wavelet transform. The key text points (KTPs) are determined by three resulting high-frequency subbands, and merged by the morphological operations. The anti-texture-direction-projection method is proposed for text line localization and verification. A fast text tracking scheme is proposed, in which text detection is only implemented on the first keyframe of an identical text line in the duration. The appearing (disappearing) frame is determined by a fast search method. Experimental results show that the proposed text detection method is robust to the font size, style, color and alignment of texts. The proposed text tracking greatly speeds up the text detection.

Keywords

Text detection text localization text tracking wavelet transform key text points 

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References

  1. 1.
    Tang, X., Gao, X., Liu, J., Zhang, H.: A spatial-temporal approach for video caption detection and recognition. IEEE Transaction on Neural Networks 13, 961–971 (2002)CrossRefGoogle Scholar
  2. 2.
    Ye, Q., Huang, Q., Gao, W., Zhao, D.: Fast and robust text detection in images and video frames. Image and Vision Computing 23, 565–576 (2005)CrossRefGoogle Scholar
  3. 3.
    Hase, H., Shinokawa, T., Yoneda, M., Suen, C.Y.: Character string extraction from color documents. Pattern Recognition 34, 1349–1365 (2001)zbMATHCrossRefGoogle Scholar
  4. 4.
    Qian, X., Liu, G., Wang, H., Su, R.: Text detection, localization, and tracking in compressed video. Signal Processing: Image communication 22, 752–768 (2007)CrossRefGoogle Scholar
  5. 5.
    Lyu, M.R., Song, J.Q., Cai, M.: A comprehensive method for multilingual video text detection, localization, and extraction. IEEE Transaction on Circuits and Systems for Video Technology 15, 243–255 (2005)CrossRefGoogle Scholar
  6. 6.
    Jung, K., Kim, K.I., Jain, A.K.: Text information extraction in images and video: a survey. Pattern Recognition 37, 977–997 (2004)CrossRefGoogle Scholar
  7. 7.
    Chen, T.: Text localization using DWT fusion algorithm. In: IEEE International Conference on Communication Technology, pp. 722–725 (2008)Google Scholar
  8. 8.
    Chen, D., Odobez, J., Thiran, J.: A localization/ verification scheme for finding text in images and video frames based on contrast independent features and machine learning methods. Signal Processing: Image Communication 19, 205–217 (2004)CrossRefGoogle Scholar
  9. 9.
    Hua, X.S., Yin, P., Zhang, H.J.: Efficient video text recognition using multiple frame integration. In: IEEE International Conference on Image Processing, vol. 2, pp. 397–400 (2002)Google Scholar
  10. 10.
    Wang, R., Jin, W., Wu, L.: A novel video caption detection approach using multi-frame integration. In: International Conference on Pattern Recognition, pp. 449–452 (2004)Google Scholar
  11. 11.
    Sato, T., Kanade, T.: Video OCR: Indexing digital news libraries by recognition of superimposed captions. Multimedia Systems 7, 385–395 (1999)CrossRefGoogle Scholar
  12. 12.
    Lienhart, R., Effelsberg, W.: Automatic text segmentation and text recognition for video indexing. Multimedia Systems 8, 69–81 (2000)CrossRefGoogle Scholar
  13. 13.
    Tanaka, M., Goto, H.: Text-tracking wearable camera system for visually-impaired people. In: International Conference on Pattern Recognition, pp. 1–4 (2008)Google Scholar
  14. 14.
    Gargi, U., Crandall, D., Antani, S., Gandhi, T., Keener, R., Kasturi, R.: A system for automatic text detection in video. In: International Conference on Document Analysis and Recognition, pp. 29–32 (1999)Google Scholar
  15. 15.
    Jiang, H., Liu, G., Qian, X., Nan, N., Guo, D., Li, Z., Sun, L.: A fast and effective text tracking in compressed video. In: IEEE International Symposium on Multimedia (ISM), pp. 136–141 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Zhi Li
    • 1
  • Guizhong Liu
    • 1
  • Xueming Qian
    • 1
  • Chen Wang
    • 1
  • Yana Ma
    • 1
  • Yang Yang
    • 1
  1. 1.School of Electronic and Information EngineeringXi’an Jiaotong UniversityXi’anChina

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