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Modified Adaptive Extended Bilateral Motion Estimation with Scene Change Detection for Motion Compensated Frame Rate Up-Conversion

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Advances in Visual Computing (ISVC 2014)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 8888))

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Abstract

In this paper, a novel frame rate up conversion (FRUC) algorithm using modified adaptive extended bilateral motion estimation (MAEBME) with scene change detection is proposed. Conventionally, extended bilateral motion estimation (EBME) carries out bilateral motion estimation (BME) twice on the same region, therefore involves high complexity. Adaptive extended bilateral motion estimation (AEBME) is proposed to reduce complexity and increase visual quality by using block type matching process and considering frame motion activity. In MAEBME algorithm, calculated edge information is used to detect a global scene cut change, and then is used in block type matching process whether to use EBME. Finally, overlapped block motion compensation (OBMC) and motion compensated frame interpolation (MCFI) are adopted to interpolate the intermediate frame in which OBMC is employed adaptively by considering frame motion activity. Experimental results show that this proposed algorithm has outstanding performance and fast computation comparing with the anchor algorithms.

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© 2014 Springer International Publishing Switzerland

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Park, D., Jeong, J. (2014). Modified Adaptive Extended Bilateral Motion Estimation with Scene Change Detection for Motion Compensated Frame Rate Up-Conversion. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2014. Lecture Notes in Computer Science, vol 8888. Springer, Cham. https://doi.org/10.1007/978-3-319-14364-4_54

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  • DOI: https://doi.org/10.1007/978-3-319-14364-4_54

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14363-7

  • Online ISBN: 978-3-319-14364-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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