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Advances in Multimedia Volume 2019 ,2019-09-22
Euclidean Distance-Based Weighted Prediction for Merge Mode in HEVC
Research Article
Hongwei Guo 1 Xiangsuo Fan 2 Lei Min 3
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DOI:10.1155/2019/8202385
Received 2019-04-26, accepted for publication 2019-08-27, Published 2019-08-27
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摘要

Merge mode can achieve a considerable coding gain because of reducing the cost of coding motion information in video codecs. However, the simple adoption of the motion information from the neighbouring blocks may not achieve the optimal performance as the motion correlation between the pixels and the neighbouring block decreases with their distance increasing. To address this problem, the paper proposes a Euclidean distance-based weighted prediction algorithm as an additional candidate in the merge mode. First, several predicted blocks are generated by motion compensation prediction (MCP) with the motion information from available neighbouring blocks. Second, an additional predicted block is generated by a weighted average of the predicted blocks above, where the weighted coefficient is related to Euclidean distances from the neighbouring candidate to the pixel points in the current block. Finally, the best merge mode is selected by the rate distortion optimization (RDO) among the original merge candidates and the additional candidate. Experimental results show that, on the joint exploration test model 7.0 (JEM 7.0), the proposed algorithm achieves better coding performance than the original merge mode under all configurations including random access (RA), low delay B (LDB), and low delay P (LDP), with a slight coding complexity increase. Especially for the LDP configuration, the proposed method achieves 1.50% bitrate saving on average.

授权许可

Copyright © 2019 Hongwei Guo et al. 2019
This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

通讯作者

Xiangsuo Fan.School of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou, Guangxi 545006, China, gxut.edu.cn.ffanxs@163.com

推荐引用方式

Hongwei Guo,Xiangsuo Fan,Lei Min. Euclidean Distance-Based Weighted Prediction for Merge Mode in HEVC. Advances in Multimedia ,Vol.2019(2019)

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参考文献
[1] G. J. Sullivan, J.-R. Ohm, W.-J. Han, T. Wiegand. et al.(2012). Overview of the high efficiency video coding (HEVC) standard. IEEE Transactions on Circuits and Systems for Video Technology.22(12):1649-1668. DOI: 10.1109/pcs.2016.7906321.
[2] D. Grois, T. Nguyen, D. Marpe. Coding efficiency comparison of AV1/VP9, H.265/MPEG-HEVC, and H.264/MPEG-AVC encoders. :1-5. DOI: 10.1109/pcs.2016.7906321.
[3] P. Helle, S. Oudin, B. Bross. (2012). Block merging for quadtree-based partitioning in HEVC. IEEE Transactions on Circuits and Systems for Video Technology.22(12):1720-1731. DOI: 10.1109/pcs.2016.7906321.
[4] J.-L. Lin, Y.-W. Chen, Y.-W. Huang, S.-M. Lei. et al.(2013). Motion vector coding in the HEVC standard. IEEE Journal of Selected Topics in Signal Processing.7(6):957-968. DOI: 10.1109/pcs.2016.7906321.
[5] Y. X. Song, K. B. Jia. (2015). Early merge mode decision for texture coding in 3D-HEVC. Journal of Visual Communication and Image Representation.33:60-68. DOI: 10.1109/pcs.2016.7906321.
[6] T. S. Kim, C. E. Rhee, H.-J. Lee. (2016). Merge mode estimation for a hardware-based HEVC encoder. IEEE Transactions on Circuits and Systems for Video Technology.26(1):195-209. DOI: 10.1109/pcs.2016.7906321.
[7] A. Kammoun, W. Hamidouche, F. Belghith, J.-F. Nezan. et al.(2018). Hardware design and implementation of adaptive multiple transforms for the versatile video coding standard. IEEE Transactions on Consumer Electronics.64(4):424-432. DOI: 10.1109/pcs.2016.7906321.
[8] G. Bjontegaard. Calculation of average PSNR difference between RDcurves. . DOI: 10.1109/pcs.2016.7906321.
[9] N. Zhang, X. P. Fan, D. B. Zhao, W. Gao. et al.Motion vector derivation of deformable block. :1549-1552. DOI: 10.1109/pcs.2016.7906321.
[10] Y. Li, G. B. Yang, Y. P. Zhu, X. L. Ding. et al.(2018). Probability model-based early merge mode decision for dependent views coding in 3D-HEVC. ACM Transactions on Multimedia Computing, Communications, and Applications.14(4):1-15. DOI: 10.1109/pcs.2016.7906321.
[11] J. F. Wu, B. L. Guo, J. Hou, Y. Y. Yan. et al.(2016). Fast CU encoding schemes based on merge mode and motion estimation for HEVC inter prediction. KSII Transactions on Internet and Information Systems.10(3):1195-1211. DOI: 10.1109/pcs.2016.7906321.
[12] K. Suehring, X. Li. JVET common test conditions and software reference configurations. . DOI: 10.1109/pcs.2016.7906321.
[13] Z. Cheng, H. Sun, D. Zhou, S. Kimura. et al.(2017). Accelerating HEVC inter prediction with improved merge mode handling. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences.E100.A(2):546-554. DOI: 10.1109/pcs.2016.7906321.
[14] G. J. Sullivan, T. Wiegand. (1998). Rate-distortion optimization for video compression. IEEE Signal Processing Magazine.15(6):74-90. DOI: 10.1109/pcs.2016.7906321.
[15] J. Chen, E. Alshina, G. J. Sullivan, J.-R. Ohm. et al.Algorithm description of joint exploration test model 7 (JEM 7). . DOI: 10.1109/pcs.2016.7906321.
[16] T. S. Kim, H. J. Lee, C. E. Rhee. Highly utilized merge mode estimation for a hardware-based HEVC encoder. :1-5. DOI: 10.1109/pcs.2016.7906321.
[17] J.-R. Ohm, G. J. Sullivan, H. Schwarz, T. K. Tan. et al.(2012). Comparison of the coding efficiency of video coding standards-including high efficiency video coding (HEVC). IEEE Transactions on Circuits and Systems for Video Technology.22(12):1669-1684. DOI: 10.1109/pcs.2016.7906321.
[18] Y. Li, G. B. Yang, Y. P. Zhu, X. L. Ding. et al.(2017). Unimodal stopping model-based early SKIP mode decision for high-efficiency video coding. IEEE Transactions on Multimedia.19(7):1431-1441. DOI: 10.1109/pcs.2016.7906321.
[19] N. Zhang, X. Fan, D. Zhao, W. Gao. et al.(2017). Merge mode for deformable block motion information derivation. IEEE Transactions on Circuits and Systems for Video Technology.27(11):2437-2449. DOI: 10.1109/pcs.2016.7906321.
[20] Z. Pan, S. Kwong, M.-T. Sun, J. Lei. et al.(2014). Early MERGE mode decision based on motion estimation and hierarchical depth correlation for HEVC. IEEE Transactions on Broadcasting.60(2):405-412. DOI: 10.1109/pcs.2016.7906321.
[21] S.-h. Jung, H. W. Park. (2016). A fast mode decision method in HEVC using adaptive ordering of modes. IEEE Transactions on Circuits and Systems for Video Technology.26(10):1846-1858. DOI: 10.1109/pcs.2016.7906321.
[22] Y. S. Heo, G. Bang, G. H. Park. (2016). Adaptive merge list construction for 3D-HEVC fast encoder. Electronics Letters.52(8):604-605. DOI: 10.1109/pcs.2016.7906321.
[23] J. Tariq, S. Kwong, H. Yuan. (2017). Spatial/temporal motion consistency based MERGE mode early decision for HEVC. Journal of Visual Communication and Image Representation.44:198-213. DOI: 10.1109/pcs.2016.7906321.
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