Thanks to the exponential growth in computing power and vast amounts of data, artificial
intelligence (AI) has witnessed remarkable developments in recent years, enabling it to be …

Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

Image steganalysis is to discriminate innocent images and those suspected images with
hidden messages. This task is very challenging for modern adaptive steganography, since …

Travel live streaming (TLS) has become prolific on many social media platforms, yet the
topic has received limited academic attention. This paper uses an affordance lens to explore …

Video summarization (VSUMM) has become a popular method in processing massive video
data. The key point of VSUMM is to select the key frames to represent the effective contents …

In this paper, we propose a dynamic graph modeling approach to learn spatial-temporal
representations for video summarization. Most existing video summarization methods extract …

This paper studies the video summarization task by formulating it as a sequential decision-
making process, in which the input is a sequence of video frames and the output is a subset …

Video summarization, with the target to detect valuable segments given untrimmed videos, is
a meaningful yet understudied topic. Previous methods primarily consider inter-frame and …

There is an abundance of digital video content due to the cloud's phenomenal growth and
security footage; it is therefore essential to summarize these videos in data centers. This …

Multi-video summarization is an effective tool for users to browse multiple videos. In this
paper, multi-video summarization is formulated as a graph analysis problem and a dynamic …