Local Spatio-Temporal Representation Using the 3D Shearlet Transform

被引：0
|
作者：
Damiano Malafronte
Ernesto De Vito
Francesca Odone
机构：
[1] Università di Genova,DIBRIS
[2] Università di Genova,DIMA
来源：
Sampling Theory in Signal and Image Processing | 2018年 / 17卷 / 1期
关键词：
shearlet transform; spatio-temporal features; video analysis; 42C40;
D O I：
10.1007/BF03549613
中图分类号：
学科分类号：
摘要：
In this work we address the problem of analyzing video sequences and of representing meaningful space-time points of interest by using the 3D shearlet transform. We introduce a local representation based on shearlet coefficients of the video, regarded as 2D+T signal. This representation turns out to be informative to understand the local spatio-temporal characteristics, which can be easily detected by an unsupervised clustering algorithm.
引用
收藏
页码：57 / 72
页数：15
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