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MFSR: Maximum feature score region-based captions locating in news video images

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Abstract

For news video images, caption recognizing is a useful and important step for content understanding. Caption locating is usually the first step of caption recognizing and this paper proposes a simple but effective caption locating algorithm called maximum feature score region (MFSR) based method, which mainly consists of two stages: In the first stage, up/down boundaries are attained by turning to edge map projection. Then, maximum feature score region is defined and left/right boundaries are achieved by utilizing MFSR. Experiments show that the proposed MFSR based method has superior and robust performance on news video images of different types.

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Acknowledgement

This work was supported by National Natural Science Foundation of China (Nos. 61272394, 61201395 and 61472119), the program for Science & Technology Innovation Talents in Universities of Henan Province (No. 13HASTIT039), Henan Polytechnic University Innovative Research Team (No. T2014-3), and Henan Polytechnic University Fund for Distinguished Young Scholars (No. J2013-2).

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Authors and Affiliations

  1. School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, 454003, China

    Zhi-Heng Wang, Chao Guo, Hong-Min Liu & Zhan-Qiang Huo

Authors
  1. Zhi-Heng Wang
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  2. Chao Guo
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  3. Hong-Min Liu
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  4. Zhan-Qiang Huo
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Corresponding author

Correspondence to Hong-Min Liu.

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Recommended by Associate Editor Victor Becerra

Zhi-Heng Wang received the B. Sc. degree in mechatronic engineering from Beijing Institute of Technology, China in 2004, and the Ph.D. degree from the Institute of Automation, Chinese Academy of Sciences, China in 2009. Currently, he is an associate professor at School of Computer Science and Technique, Henan Polytechnic University, China.

His research interests include computer vision, pattern recognition, and image processing.

Chao Guo received the B. Sc. degree from Henan Polytechnic University, China in 2013. Currently, he is a master student at School of Computer Science and Technology, Henan Polytechnic University, China.

His research interests include image processing.

Hong-Min Liu received the B. Sc. degree in electrical &information engineering from Xi’dian University, China in 2004, and her Ph.D. degree from the Institute of Electronics, Chinese Academy of Sciences, China in 2009. Currently, she works as an associate professor at School of Computer Science and Technique, Henan Polytechnic University, China.

Her research interests include image processing, especially on feature detection and matching.

Zhan-Qiang Huo received the B. Sc. degree in mathematics and applied mathematics from the Hebei Normal University of Science & Technology, China in 2003. He received his M. Sc. degree in computer software and theory in 2006 and the Ph.D. degree in circuit and system in 2009 from Yanshan University, China. Currently, he is an associate professor in the college of computer science and technology at Henan Polytechnic University, China. He has published about 20 refereed journal and conference papers.

His research interests include computer software and theory, queuing systems and digital image processing.

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Wang, ZH., Guo, C., Liu, HM. et al. MFSR: Maximum feature score region-based captions locating in news video images. Int. J. Autom. Comput. 15, 454–461 (2018). https://doi.org/10.1007/s11633-015-0943-5

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  • DOI: https://doi.org/10.1007/s11633-015-0943-5

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