Abstract
Quantization matrix (QM) has been adopted in image coding standards such as JPEG and JPEG-2000, as well as in video standards such as MPEG2, MPEG4 and H.264/AVC. QM can improve the subjective quality through frequency weighting on different frequency coefficients. In the latest high efficiency video coding (HEVC) standard, the quantization block sizes can go up to 32x32. To apply the frequency weighting techniques to HEVC, it needs multiple sizes (4x4, 8x8, 16x16 and 32x32) QMs. The bits to signal the multiple matrices will result in a huge overhead. In this paper, a predictive coding method for the quantization matrix is proposed. The bits consumption for QMs can be reduced significantly. Experimental results show that the proposed method is 28x times efficient (96.4% bit saving) than the quantization matrix compression method used in H.264/AVC. Moreover, the proposed method will only introduce negligible complexity on encoder and decoder.
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References
Mannos, J.L., Sankrison, D.J.: The effect of a visual fidelity criterion on the encoding of images. IEEE Trans. Inform. Theory 20, 525–536 (1974)
Ciptpraset, B., Rao, K.R.: Human visual weighted progressive image transmission. In: International Conference on Commun. Systems, Singapore, pp. 195–197 (1987)
Thomas, W., Gary, S., Gisle, B., Ajay, L.: Overview of the H.264/AVC Video Coding Standard. IEEE Transactions on Circuits and Systems for Video Technology 13, 560–576 (2003)
Andersson, K., Fuldseth, A., Bjontegaard, G., et al.: High Performance, Low Complexity Video Coding and the Emerging HEVC Standard. IEEE Transactions on Circuits and Systems for Video Technology 20, 1688–1697 (2010)
Zhou, M.H., Sze, V.: Compact representation of quantization matrices for HEVC. ISO/IEC JTC1/SC29/WG11, JCTVC-D024, Daegu, Korea (2011)
Tanaka, J., Morigami, Y., Suzuki, T., Shinagawa, K.: Enhancement of quantization matrix coding for HEVC. ISO/IEC JTC1/SC29/WG11, JCTVC-F475, Torino, Italy (2011)
Chen, J.W., Zheng, J.H., He, Y.: Macroblock-Level Adaptive Frequency Weighting for Perceptual Video Coding. IEEE Transactions on Consumer Electronics 53, 775–781 (2007)
Sato, S., Budagavi, M., Coban, M., Aoki, H., Li, X.: Description of Core Experiment 4: Quantization. ISO/IEC JTC1/SC29/WG11, JCTVC-G1204, Geneva, Switzerland (2011)
Tabatabai, A., Haque, M., Morigami, Y.: HVS Model based Default Quantization Matrices. ISO/IEC JTC1/SC29/WG11, JCTVC-G880, Geneva, Switzerland (2011)
Bossen, F.: Common test conditions and software reference configurations. ISO/IEC JTC1/SC29/WG11, JCTVC-B300, Geneva, Switzerland (2010)
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Mo, Y., Xiong, J., Chen, J., Xu, F. (2012). Quantization Matrix Coding for High Efficiency Video Coding. In: Zhang, W., Yang, X., Xu, Z., An, P., Liu, Q., Lu, Y. (eds) Advances on Digital Television and Wireless Multimedia Communications. Communications in Computer and Information Science, vol 331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34595-1_34
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DOI: https://doi.org/10.1007/978-3-642-34595-1_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34594-4
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