We propose a principled approach to summarization of visual data (images or video) based
on optimization of a well-defined similarity measure. The problem we consider is re-targeting …

An algorithm is presented that automatically matches images of presentation slides to the
symbolic source file (eg, PowerPoint™ or Acrobat™) from which they were generated. The …

In Affective Computing, different modalities, such as speech, facial expressions,
physiological properties, smart-phone usage patterns, and their combinations, are applied to …

Web lectures are a form of educational content that differs from classic hypertext in a number
of ways. Web lectures are easier to produce and therefore large amounts of material …

This paper discusses applying facilities in SMIL 2.0 to the problem of annotating multimedia
presentations. Rather than viewing annotations as collections of (abstract) meta-informa-tion …

The more the web grows, the harder it is for users to find the information they need. As a
result, it is even more difficult to identify when documents are related. To find out that two or …

We extend the notion of social tagging to construct social summaries of complex multimedia
materials. Our system allows students to apply time-indexed multimedia tags such as …

Since 1995, we have been researching the application of ubiquitous computing technology
to support the automated capture of live university lectures so that students and teachers …

Adding features and fixing bugs in software often require systematic edits which are similar,
but not identical, changes to many code locations. Finding all edit locations and editing them …

Building capture and access (C&A) applications for use in the operation theatre differs
greatly from C&A applications built to support other settings eg meeting rooms or …