Publikation
A generic layout-tool for summaries of meetings in a constraint-based approach
Sandro Castronovo; Jochen Frey; Peter Poller
In: Andrei Popescu-Bells; Rainer Stiefelhagen (Hrsg.). Machine Learning for Multimodal Interaction. Machine Learning and Multimodal Interaction (MLMI-2008), 5th International Workshop, September 8-10, Utrecht, Netherlands, Pages 248-259, Lecture Notes in Computer Science (LNCS), Vol. 5237, ISBN 978-3-540-85852-2, Springer, Heidelberg, 2008.
Zusammenfassung
We present SuVi - Summary Visualizer -, a generic layout-
tool which displays a multimodal summary of a meeting in either a story-
board style or newspaper-style. The system relies on constraint solving
techniques in such a way that the two layouts have been extensively
modeled in a series of constraints representing the underlying design
knowledge. While the story-board aims to give the reader an overview of
the chronological sequence of the meeting, the newspaper-layout focuses
on presenting the topics of a meeting depending on their relevance. We
also show two methods for connecting the whole AMI meeting corpus as
a large input resource for the story-board part of SuVi and present a first end-to-end implementation of our system.