The demand for various multimedia applications is rapidly increasing due to the recent
advance in the computing and network infrastructure, together with the widespread use of …

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

In this paper, we propose a novel audio-visual feature-based framework for event detection
in broadcast video of multiple different field sports. Features indicating significant events are …

Video semantic analysis is formulated based on the low-level image features and the high-
level knowledge which is encoded in abstract, nongeometric representations. This paper …

This paper addresses the challenge of automatically extracting the highlights from sports TV
broadcasts. In particular, we are interested in finding a generic method of highlights …

Content characterization of sport videos is a subject of great interest to researchers working
on the analysis of multimedia documents. In this paper, we propose a semantic indexing …

This paper aims to identify the current trends in sports-based indexing and retrieval work. It
discusses the essential building blocks for any semantic-level retrieval system and acts as a …

Event detection is one of the most fundamental components for various kinds of domain
applications of video information system. In recent years, it has gained a considerable …

While most existing sports video research focuses on detecting event from soccer and
baseball etc., little work has been contributed to flexible content summarization on racquet …

This survey considers the vision of TV broadcasting where content is personalised and
personalisation is data-driven, looks at the AI and data technologies making this possible …