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Automatic generation of biased video sequences

Published: 15 October 2004 Publication History

Abstract

We describe our experimental rhetoric engine <i>Vox Populi</i> that generates biased video-sequences from a repository of video interviews and other related audio-visual web sources. Users are thus able to explore their own opinions on controversial topics covered by the repository. The repository contains interviews with United States residents stating their opinion on the events occurring after the terrorist attack on the United States on the 11th of September 2001. We present a model for biased documentary statements, such as interviews, and explain in detail how this model facilitates the automatic generation of rhetorical arguments on a micro-level. We outline the required representations of relevant rhetorical structures and the way they can be processed. The processes are described via examples generated by our experimental engine. The first example shows how to logically counter an opinion using semantics contained in the audio tracks from the database, while the second example describes the generation of an emotional counterargument using visual material.

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cover image ACM Conferences
SRMC '04: Proceedings of the 1st ACM workshop on Story representation, mechanism and context
October 2004
90 pages
ISBN:1581139314
DOI:10.1145/1026633
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 15 October 2004

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Author Tags

  1. automated video editing
  2. media rhetorics
  3. media semantics
  4. multimedia presentation generation
  5. video documentaries

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