未找到相关数据
Clustering Video Sequences by the Method of Harmonic k-Means
被引：0
作者：
S. V. Mashtalir
M. I. Stolbovyi
S. V. Yakovlev
机构：
[1] Kharkiv National University of Radio Electronics,
[2] M. E. Zhukovsky National Aerospace University “Kharkiv Aviation Institute”,undefined
来源：
Cybernetics and Systems Analysis
|
2019年
/
55卷
关键词：
segmentation;
clustering;
multidimensional sequence;
video;
dynamic warping;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This study is devoted to the segmentation–clustering of video sequences by analyzing multidimensional time sequences. An approach is proposed to using the iterative deepening time warping technique in conjunction with the matrix harmonic k-means method. Unlike the traditional approach, this segmentation–clustering procedure is insensitive to the initial choice of centroids, which is especially convenient when analyzing arbitrary mass data.
引用
收藏
页码：200 / 206
页数：6
相关论文