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Lei, \u201cDescription of SDR video coding technology proposal by mediatek,\u201d document JVET-J0018, Joint Video Exploration Team (JVET), April 2018."},{"key":"5","unstructured":"[5] P. Farhad, A.M. Ali, G. Moncef, and H.M. Reza, \u201cComplexity analysis of next-generation VVC encoding and decoding,\u201d Proc. IEEE Int. Conf. on Image Process. (ICIP), Virtual Conference, pp.3134-3138, Oct. 2020. 10.1109\/icip40778.2020.9190983"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] A. Kammoun, W. Hamidouche, P. Philippe, O. D\u00e9forges, F. Belghith, N. Masmoudi, and J.F. Nezan, \u201cForward-inverse 2D hardware implementation of approximate transform core for the VVC standard,\u201d IEEE Trans. Circuits Syst. Video Technol., vol.30, no.11, pp.4340-4354, Nov. 2020. 10.1109\/tcsvt.2019.2954749","DOI":"10.1109\/TCSVT.2019.2954749"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] M.J. Garrido, F. Pescador, M. Chavarr\u00edas, P.J. Lobo, and C. 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