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Frame Rate Conversion Based High Efficient Compression Method for Video Satellite

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Advances in Multimedia Information Processing – PCM 2018 (PCM 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11165))

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Abstract

Video transmission from satellites to ground devices usually requires a large amount of channel resource due to the huge size of satellite video. Subject to limited computation capability and transmission bandwidth in space environment, the video encoder for video satellite calls for higher coding efficiency. In this paper, we propose a high efficiency satellite video compression method based on frame rate conversion. We firstly down-sample frame rate of satellite video prior to encoding, and then adopt frame interpolation to recover its original frame rate after decoding in the ground. Furthermore, we raise a novel frame interpolation method via fusion of phase-based and region-based method to retain the naturalness of interpolated frames. Experiments show that our proposed coding scheme achieves higher efficiency than H.264 and HEVC in terms of rate-distortion performance. The proposed frame interpolation method is also verified to be more accurate than state-of-the-art methods.

The research was supported by the National Nature Science Foundation of China under Contracts 61671336, 61671332, U1736206, and the Open Research Fund of State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University under Contract 17E03.

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Correspondence to Ruimin Hu .

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Wang, X., Hu, R., Xiao, J. (2018). Frame Rate Conversion Based High Efficient Compression Method for Video Satellite. In: Hong, R., Cheng, WH., Yamasaki, T., Wang, M., Ngo, CW. (eds) Advances in Multimedia Information Processing – PCM 2018. PCM 2018. Lecture Notes in Computer Science(), vol 11165. Springer, Cham. https://doi.org/10.1007/978-3-030-00767-6_4

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  • DOI: https://doi.org/10.1007/978-3-030-00767-6_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00766-9

  • Online ISBN: 978-3-030-00767-6

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