We present a framework for summarizing digital media based on structural analysis. Though these methods are applicable to general media, we concentrate here on characterizing repetitive structure in popular music. In the first step, a similarity matrix is calculated from inter-frame spectral similarity. Segment boundaries, such as verse-chorus transitions, are found by correlating a kernel alon...

This paper presents our work on the development of a new methodology for automatic summarization of justice decision. We describe LetSum (Legal text Summarizer), a prototype system, which determines the thematic structure of a judgment in four themes INTRODUCTION, CONTEXT, JURIDICAL ANALYSIS and CONCLUSION. Then it identifies the relevant sentences for each theme. We discuss the evaluation of p...

Summarizing is a process of identifying important information from a text. Experts employ several important strategies to produce good summaries. Unfortunately, students do not acquire the summarization skills. Thus, this paper proposed an algorithm to identify the summarizing strategies employed by students using summary sentence decomposition. The strategies used by experts are identified and...

How can we describe a large, dynamic graph over time? Is it random? If not, what are the most apparent deviations from randomness – a dense block of actors that persists over time, or perhaps a star with many satellite nodes that appears with some fixed periodicity? In practice, these deviations indicate patterns – for example, research collaborations forming and fading away over the years. Whi...