Summarization of Multimodal Information

Information Summarization is one of the key challenges for current and future information systems. In this paper, we will outline a system that comprises modules for summarizing texts and time series to study the link between the two. Summaries of texts are generated using a lexical analysis of cohesion in texts focusing on key sentences that provide cohesion: by implication, these are the sentences that comprise chief points of a given text. Time series summarization is accomplished using the so-called wavelet analysis to separate out the trend, cyclical fluctuations and autocorrelational effects and generating verbal signals to describe each phenomenon. Finally, we present a case study performed on the UK financial market with regards to multimodal information processing, namely textual and numerical summarization.