Recent developments in video analysis of sports and computer vision techniques have
achieved significant improvements to enable a variety of critical operations. To provide …

The majority of soccer analysis studies investigates specific scenarios through the
implementation of computational techniques, which involve the examination of either …

Summaries are important when it comes to process huge amounts of information. Their most
important benefit is saving time, which we do not have much nowadays. Therefore, a …

This paper introduces a transformer encoding linker network (TELNet) for automatically
identifying scene boundaries in videos without prior knowledge of their structure. Videos …

Social media plays a significant role for sports organizations with millions of active fans, but
publishing highlights is often a tedious manual operation. With the development of AI, new …

Football is a sport that has the most fans in the world. What makes sebak patterns so popular
are their uncertain and unpredictable results. There are many factors that affect the outcome …

Automatic summarization generation of sports video content has been object of great
interest for many years. Although semantic descriptions techniques have been proposed …

The current gold standard for extracting highlight clips from soccer games is the use of
manual annotations and clippings, where human operators define the start and end of an …

Event detection is an important step in extracting knowledge from the video. In this paper, we
propose a deep learning approach to detect events in a soccer match emphasizing the …

Extracting highlight clips from soccer matches requires tedious, time-consuming, and
expensive manual labor. Human operators need to search for appropriate clipping points …