The status updates posted to social networks, such as Twitter and Facebook, contain a
myriad of information about what people are doing and watching. During events, such as …

In this demonstration, we present a unified framework for semantic shot classification in
sports videos. Unlike previous approaches, which focus on clustering by aggregating shots …

Sports video semantic event detection is essential for sports video summarization and
retrieval. Extensive research efforts have been devoted to this area in recent years …

This paper presents a novel framework called audio keywords to assist event detection in
soccer video. Audio keyword is a middle-level representation that can bridge the gap …

Event detection is essential for sports video summarization, indexing and retrieval and
extensive research efforts have been devoted to this area. However, the previous …

Sports video has been widely studied due to its tremendous commercial potentials. Despite
encouraging results from various specific sports games, it is almost impossible to extend a …

Sports video annotation is important for sports video semantic analysis such as event
detection and personalization. In this paper, we propose a novel approach for sports video …

We study the problem of affective content analysis. In this paper, we think of affective
contents as those video/audio segments, which may cause an audience's strong reactions …

Most of existing approaches on event detection in sports video are general audience
oriented. The extracted events are then presented to the audience without further analysis …

Recognition of player actions in broadcast sports video is a challenging task due to low
resolution of the players in video frames. In this paper, we present a novel method to …