Fine-grain complexity control of HEVC intra prediction in battery-powered video codecs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11554-020-00996-7.pdf
Reference41 articles.
1. Sullivan, G.J., Ohm, J.-R., Han, W.-J., Wiegand, T.: Overview of the high efficiency video coding (HEVC) standard. IEEE Trans. Circuits Syst. Video Technol. 22, 1649–1668 (2012). https://doi.org/10.1109/TCSVT.2012.2221191
2. Correa, G., Assuncao, P., Agostini, L., Da Silva Cruz, L.A.: Performance and computational complexity assessment of high-efficiency video encoders. IEEE Trans. Circuits Syst. Video Technol. 22, 1899–1909 (2012). https://doi.org/10.1109/TCSVT.2012.2223411
3. Pakdaman, F., Hashemi, M.-R., Ghanbari, M.: Fast and efficient intra mode decision for HEVC, based on dual-tree complex wavelet. Multimed. Tools Appl. 76, 9891–9906 (2017). https://doi.org/10.1007/s11042-016-3584-y
4. Jamali, M., Coulombe, S.: Fast HEVC intra mode decision based on RDO cost prediction. IEEE Trans. Broadcast. (2018). https://doi.org/10.1109/TBC.2018.2847464
5. Liu, X., Liu, Y., Wang, P., Lai, C.F., Chao, H.C.: An adaptive mode decision algorithm based on video texture characteristics for HEVC intra prediction. IEEE Trans. Circuits Syst. Video Technol. 27, 1737–1748 (2017). https://doi.org/10.1109/TCSVT.2016.2556278
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