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An automatic video text detection method based on BP-adaboost

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Abstract

Video text usually provides us a lot of useful information that is important for video analysis, indexing and retrieval. However, it is still a challenging work to detect text from video images due to variation of text patterns and complexity of background. In this paper, an automatic video text detection method is proposed. Firstly, K-means is utilized to classify pixels in gradient images into text and non-text regions. Subsequently, morphological operations are performed on text regions to form connected candidate text components, followed by projection profile boundary refinement. Finally, the detection results are verified by geometry and BP-Adaboost identifications. The experimental results on our manually selected dataset and the publicly available Microsoft Asia dataset show the effectiveness and feasibility of the proposed method.

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Acknowledgments

This work is partly supported by the National Natural Science Foundation of China (Grant Nos. 61172184, 61173122, 61174210, 61379107, and 61402539), Key Project of Hunan Provincial Natural Science Foundation of China (Grant No. 12JJ2038), Program for New Century Excellent Talents in University of Education Ministry in China (Grant No. NCET-13-0603), Specialized Research Fund for the Doctoral Program of Higher Education in China (Grant No. 20130162110016), Program for Hunan Province Science and Technology Basic Construction (Grant No. 20131199), and China Postdoctoral Science Foundation (Grant No. 2012 M521554), the Fundamental Research Funds for the Central Universities of Central South University (Grant No. 2015zzts052).

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Authors and Affiliations

  1. School of Information Science and Engineering, Central South University, Changsha, 410083, China

    Hui Wu, Bei-ji Zou, Yu-qian Zhao & Hong-pu Fu

  2. Mobile Health Ministry of Education, China Mobile Joint Laboratory, Changsha, Hunan, 410012, China

    Hui Wu, Bei-ji Zou, Yu-qian Zhao & Hong-pu Fu

  3. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China

    Yu-qian Zhao

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  1. Hui Wu
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  2. Bei-ji Zou
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  3. Yu-qian Zhao
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  4. Hong-pu Fu
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Correspondence to Yu-qian Zhao.

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Wu, H., Zou, Bj., Zhao, Yq. et al. An automatic video text detection method based on BP-adaboost. Multimed Tools Appl 75, 7715–7738 (2016). https://doi.org/10.1007/s11042-015-2690-6

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  • DOI: https://doi.org/10.1007/s11042-015-2690-6

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