In recent years, there has been a explosion in the amount of text data from a variety of
sources. This volume of text is an invaluable source of information and knowledge which …

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 …

We present a fully automatic system for ranking domain-specific highlights in unconstrained
personal videos by analyzing online edited videos. A novel latent linear ranking model is …

In this work, we study how Twitter can be used as a sensor to detect frequent and diverse
social and physical events in real-time. We devise efficient data collection and event …

We deal with shrinking the stream of tweets for scheduled events in real-time, following two
steps:(i) sub-event detection, which determines if something new has occurred, and (ii) tweet …

Podcasts are spoken documents across a wide-range of genres and styles, with growing
listenership across the world, and a rapidly lowering barrier to entry for both listeners and …

The task of multi-view video summarization is to efficiently represent the most significant
information from a set of videos captured for a certain period of time by multiple cameras …

During a live sports event, many sports fans use social media as a part of their viewing
experience, reporting on their thoughts on the event as it unfolds. In this work, we use this …

In recent years, the scientific and technological developments have led to an explosion of
available videos on the web, increasing the necessity of fast and effective video analysis …

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 …