Abstract
Motion compensated frame rate up-conversion (MC-FRUC) is a popular practical video processing technique to increase frame rate, which mainly composes of motion estimation (ME) and motion compensated frame interpolation (MCFI). However, for scrolling text embedded in videos, such as subtitle or scrolling TV news, ME usually fails to produce true trajectory when the scrolling motion of subtitle is irrelevance with background’s movements. In this paper, we propose an effective scrolling subtitle post-processing technique to reduce artifacts such as text broken and motion blur around subtitle regions. True global text motion estimation is put forward to predict the motion vector of subtitle after detecting the text area in the intermediate frame. Finally, a fusion of subtitle and background method is proposed to obtain a correct intermediate frame. Experimental results show that the proposed algorithm can significantly reduce the broken artifact with low complexity.
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Acknowledgment
This work was supported in part by Chinese National Key S&T Special Program (2013ZX01033001-002-002), National Natural Science Foundation of China (6113300961221001, 61301116), the Shanghai Key Laboratory of Digital Media Processing and Transmissions (STCSM 12DZ2272600).
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Li, G., Zhang, X., Gao, Z. (2017). Scrolling Subtitle Processing of Frame Rate Up-Conversion Based on Global Text Motion Estimation. In: Yang, X., Zhai, G. (eds) Digital TV and Wireless Multimedia Communication. IFTC 2016. Communications in Computer and Information Science, vol 685. Springer, Singapore. https://doi.org/10.1007/978-981-10-4211-9_4
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DOI: https://doi.org/10.1007/978-981-10-4211-9_4
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