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Converting DCT Coefficients to H.264/AVC Transform Coefficients

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Advances in Multimedia Information Processing - PCM 2004 (PCM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3332))

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Abstract

Many video coding schemes, including MPEG-2, use a Discrete Cosine Transform (DCT). The recently completed video coding standard, H.264/AVC, uses an integer transform, which will be referred to as HT in this paper. We propose an efficient method to convert DCT coefficients to HT coefficients entirely in the transform domain. We show that the conversion is essentially a 2D transform. We derive the transform kernel matrix, provide a fast algorithm and an integer approximation of the transform. We show that the proposed transform domain conversion outperforms the conventional pixel domain approach. It is expected to have applications in transform domain video transcoding.

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References

  1. ISO/IEC 13818-2: Information technology - Generic coding of moving pictures and associated audio information: Video. Edition 2 (2000)

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  2. Wiegand, T., Sullivan, G.J., Bjøntegaard, G., Luthra, A.: Overview of the H.264/AVC video coding standard. IEEE Trans. Circuits Syst. Video Technol. 13(7), 560–576 (2003)

    Article  Google Scholar 

  3. Keesman, G., Hellinghuizen, R., Hoeksema, F., Heideman, G.: Transcoding of MPEG bitstreams. Signal Processing: Image Communication 8, 481–500 (1996)

    Article  Google Scholar 

  4. Chen, W.H., Smith, C.H., Fralick, S.C.: A Fast Computation Algorithm for The Discrete Cosine Transform. IEEE Trans. Commun. COM-25, 1004–1009 (1977)

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  5. Malvar, H.S., Hallapuro, A., Karczewicz, M., Kerofsky, L.: Low-Complexity Transform and Quantization in H.264/AVC. IEEE Trans. Circuits Syst. Video Technol. 13(7), 598–603 (2003)

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  6. Richardson, I.E.G.: H.264 / MPEG-4 Part 10 Tutorials: H.264 Transform and Quantization. Available online at http://www.vcodex.com/h264.html

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© 2004 Springer-Verlag Berlin Heidelberg

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Xin, J., Vetro, A., Sun, H. (2004). Converting DCT Coefficients to H.264/AVC Transform Coefficients. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3332. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30542-2_116

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  • DOI: https://doi.org/10.1007/978-3-540-30542-2_116

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23977-2

  • Online ISBN: 978-3-540-30542-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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