Video summarization is a challenging problem in part because knowing which part of a
video is important requires prior knowledge about its main topic. We present TVSum, an …

We present video co-summarization, a novel perspective to video summarization that
exploits visual co-occurrence across multiple videos. Motivated by the observation that …

Owing to the massive amount of video data being generated as a result of high proliferation
of surveillance cameras, the manpower to monitor such system is relatively expensive …

Effective tracking and re-identification of players is essential for analyzing soccer videos.
But, it is a challenging task due to the non-linear motion of players, the similarity in …

Video contents are inherently heterogeneous. To exploit different feature modalities in a
diverse video collection for video summarization, we propose to formulate the task as a multi …

Video highlight detection is a task to automatically select the most engaging moments from a
long video. This problem is highly challenging since it aims to learn a general way of finding …

This paper introduces a novel variant of video summarization, namely building a summary
that depends on the particular aspect of a video the viewer focuses on. We refer to this as …

This paper presents a unified framework to (i) locate the ball,(ii) predict the pose, and (iii)
segment the instance mask of players in team sports scenes. Those problems are of high …

Democratic and personalized production of multimedia content is a challenge that content
providers will have to face in the near future. In this paper, we address this challenge by …

Rich and complex events in sports have led to the development of a wide-variety of
techniques for interpreting content of sports videos in terms of players' actions, poses, gait …