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Pixel Granularity Template Matching Method for Screen Content Lossless Intra Picture

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Book cover Advances in Multimedia Information Processing – PCM 2014 (PCM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8879))

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Abstract

The-state-of-art High Efficiency Video Coding(HEVC) is designed towards the natural picture. Screen Content picture contains many similarities in one picture which can be used to improve the intra picture compression ratio. We propose sample rearrangement and template matching method by exploiting the similarities in the screen content picture. The 21 pixels template and the high efficiency multiple hash table are designed. Experiment results show that our proposal method can improve the lossless compression ratio by up to 4.23 times than HEVC Range Extensions.

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© 2014 Springer International Publishing Switzerland

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Feng, L., Tao, P., Guang, D., Wen, J., Yang, S. (2014). Pixel Granularity Template Matching Method for Screen Content Lossless Intra Picture. In: Ooi, W.T., Snoek, C.G.M., Tan, H.K., Ho, CK., Huet, B., Ngo, CW. (eds) Advances in Multimedia Information Processing – PCM 2014. PCM 2014. Lecture Notes in Computer Science, vol 8879. Springer, Cham. https://doi.org/10.1007/978-3-319-13168-9_15

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  • DOI: https://doi.org/10.1007/978-3-319-13168-9_15

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13167-2

  • Online ISBN: 978-3-319-13168-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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