Sports data analysis is becoming increasingly large scale, diversified, and shared, but
difficulty persists in rapidly accessing the most crucial information. Previous surveys have …

Video Summarization is a technique to reduce the original raw video into a short video
summary. Video summarization automates the task of acquiring key frames/segments from …

In the last 15 years much effort has been made in the field of segmentation of videos into
scenes. We give a comprehensive overview of the published approaches and classify them …

Although promising results have been achieved for human action recognition under well-
controlled conditions, it is very challenging to recognize human actions in realistic scenarios …

The massive growth of sports videos has resulted in a need for automatic generation of
sports highlights that are comparable in quality to the hand-edited highlights produced by …

Recent advances in multimedia technology have led to tremendous increases in the
available volume of video data, thereby creating a major requirement for efficient systems to …

Video Summarization is a video compression/compaction technique to create a shorter yet
informative version of original video. Video summarization has offered solutions to plenty of …

To date, machine learning for human action recognition in video has been widely
implemented in sports activities. Although some studies have been successful in the past …

The outbreak of COVID-19 pandemic poses new challenges to research community to
investigate novel mechanisms for monitoring as well as controlling its further spread via …

In this paper, we propose a discriminative representation of a video shot based on its
camera motion and demonstrate how the representation can be used for high level …