Indian classical dance (ICD) classification is an interesting subject because of its complex
body posture. It provides a stage to experiment with various computer vision and deep …

Table tennis stroke recognition is very important for athletes to analyze their sports skills. It
can help players to regulate hitting movement and calculate sports consumption. Different …

In this paper, an approach for video popularity prediction is proposed, by combining two
different methods, video content analysis, and early viewership. Firstly, a multi-modal …

Video segmentation is a fundamental problem in computer vision and aims to extract
meaningful entities from a video. One of the most useful cues in this quest is motion as is …

We describe a novel video object segmentation system based on a conditional random field
model with high-order term which is capable of capturing longer-range spatial and temporal …

Due to the restrictive measures to prevent COVID-19 from spreading, an increasingly large
number of viewers are eschewing traditional television programs, resorting to streaming and …

Medical image segmentation is the first venture for abnormal state image analysis,
significantly lessening the multifaceted nature of substance investigation of pictures. The …

An improved energy-based technique with a Lattice Boltzmann method organizes with the
neighborhood and global energy terms, local term propels to pull the frame and constrain it …

为提高运动目标分割算法对多种复杂场景的自适应能力和分割精度, 提出一种基于运动显著图
和光流矢量分析的目标分割算法. 该算法首先基于运动显著图提取运动目标的大致区域 …

Motion detection technology based on deep learning can adapt to the impact on recognition
accuracy in a variety of complex backgrounds, but the existing algorithms are difficult to …