With the significant development of practicability in deep learning and the ultra-high-speed
information transmission rate of 5G communication technology will overcome the barrier of …

3D LiDAR scanners are playing an increasingly important role in autonomous driving as
they can generate depth information of the environment. However, creating large 3D LiDAR …

Today, the number of available videos on the Internet is significantly increased. Content-
based video retrieval is used for finding the users' desired items among these big video …

Servitization of manufacturing has become one of the main pathways for transition and
upgrade in the manufacturing industry. New information and communication technologies …

Background subtraction in videos is a highly challenging task by definition, as it lays on a
pixel-wise classification level. Therefore, great attention to detail is essential. In this paper …

In this paper, time-series clustering is discussed. At first ℓ 1 trend filtering method is used to
produce an optimal segmentation of time series. Next optimized fuzzy information …

Content-based 3D object retrieval has wide applications in various domains, ranging from
virtual reality to computer aided design and entertainment. With the rapid development of …

View-based methods are popular in 3D object recognition. However, current methods with
traditional classifiers are usually based on one-to-one view matching and fail to capture the …

In this paper, we present an image classification approach to action recognition with 3D
skeleton videos. First, we propose a video domain translation-scale invariant image …

Hand-crafted and learning-based features are two main types of video representations in the
field of video understanding. How to integrate their merits to design good descriptors has …