Abstract：International organizations proposed a new generation of the video coding standard，which called high efficiency video coding standard.In order to improve coding efficiency，the standard introduces a large number of new technologies，which inevitably increases computational complexity.So as to further meet the needs of low delay video transmission，this paper proposed the idea of using weighted multi-view clustering method for high efficiency video coding inter mode prediction.Specifically by introducing a fast and efficient kernel-based K-means multi-view clustering algorithm，combined with feature selection，such as Merge Flag，Motion Vector，SKIP Flag and RDO ratio.Using unsupervised machine learning the temporal correlation between video frames to reduce the number of candidate modes for inter-frame prediction.The mathematical formula derivation and experiments prove that the proposed algorithm can save up to 36.690% of the coding time，and only add 0.278% of the rate loss.And through the horizontal comparison with similar algorithms，it is further confirmed that the comprehensive advantages of the proposed algorithm are obvious.The expected goal was achieved.
刘子龙,罗小龙. 加权多视图聚类方法应用于快速帧间模式决策的HEVC改进算法[J]. 小型微型计算机系统, 2022, 43(5): 1046-1050.
LIU Zi-long,LUO Xiao-long. Improved HEVC Algorithm With Weighted Multi-view Clustering Method Applied to Fast Inter Mode Decision. Journal of Chinese Computer Systems, 2022, 43(5): 1046-1050.
2022, Vol. 43 
