Zhi-Heng Wang, Chao Guo, Hong-Min Liu and Zhan-Qiang Huo. MFSR: Maximum Feature Score Region-based Captions Locating in News Video Images. International Journal of Automation and Computing, vol. 15, no. 4, pp. 454-461, 2018. DOI: 10.1007/s11633-015-0943-5
Citation: Zhi-Heng Wang, Chao Guo, Hong-Min Liu and Zhan-Qiang Huo. MFSR: Maximum Feature Score Region-based Captions Locating in News Video Images. International Journal of Automation and Computing, vol. 15, no. 4, pp. 454-461, 2018. DOI: 10.1007/s11633-015-0943-5

MFSR: Maximum Feature Score Region-based Captions Locating in News Video Images

  • 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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