Abstract
In this paper, we propose a computation-efficient DCT-based encoding algorithm for the standard video encoders. Most video coding standards consist of DCT and associated modules such as quantization, zigzag scan, VLC (Variable Length Coders). Commercial and standard video encoders implement the modules independently. In this paper, the relationship between the function modules is investigated and the unnecessary operations are removed. The simulation results show that the proposed method reduces the computation complexity of IDCT by 40 % compared with standard implementation.
This research was supported by the MIC (Ministry of Information and Communication), Korea, under the ITRC (Information Technology Research Center) support program supervised by the IITA (Institute of Information Technology Assessment).
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References
Information Technology - Coding of Audio-Visual Objects - Part 2: Visual, ISO/IEC 14496-2:2001, ISO/IEC/SC29/WG11 (2001)
Video Coding for Low Bitrate Communications, ITU-T Rec. H.263 (1998)
Richardson, I.E.G., Zhao, Y.: Adaptive algorithms for variable-complexity video cod-ing. In: Proc. IEEE Int’l Conf. on Image Processing, vol. 1, pp. 457–460 (2001)
Kim, H.C., Yoo, K.Y.: Complexity-scalable DCT-based video coding algorithm for computation-limited terminals. IEICE Trans. On Communications E88-B(7), 2868–2871 (2005)
UBC IPL, 263 TMN encoder software implementation, available online: http://www.ee.ubc.ca/image
ACTS-MoMuSys, M.-4.V.: encoder software implementation (ISO/IEC 14496-2), available online: http://www.chiariglione.org
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Yoo, KY. (2006). A Fast Video Encoding Algorithm by Skipping the Operations on Zero-Valued DCT Coefficients. In: Gavrilova, M., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751540_32
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DOI: https://doi.org/10.1007/11751540_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34070-6
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