Affiliations: [a]
Loria University of Lorraine – France
| [b] LIA Avignon Université – France | [c]
AGH University of Science and Technology Kraków – Poland
| [d]
University of DEUSTO Bilbao – Spain
| [e] Polytechnique Montréal – Canada
Correspondence:
[*]
Corresponding author. Kamel Smaïli, Loria BP 239 54506 Voeuvre-Lès-Nancy, France. E-mail: smaili@loria.fr.
Abstract: The aim of the work is to report the results of the Chist-Era project AMIS (Access Multilingual Information opinionS). The purpose of AMIS is to answer the following question: How to make the information in a foreign language accessible for everyone? This issue is not limited to translate a source video into a target language video since the objective is to provide only the main idea of an Arabic video in English. This objective necessitates developing research in several areas that are not, all arrived at a maturity state: Video summarization, Speech recognition, Machine translation, Audio summarization and Speech segmentation. In this article we present several possible architectures to achieve our objective, yet we focus on only one of them. The scientific locks are be presented, and we explain how to deal with them. One of the big challenges of this work is to conceive a way to evaluate objectively a system composed of several components knowing that each of them has its limits and can propagate errors through the first component. Also, a subjective evaluation procedure is proposed in which several annotators have been mobilized to test the quality of the achieved summaries.
Keywords: Automatic speech recognition, statistical machine translation, video summarization, text boundary segmentation, collecting data, text and audio summarization, objective and subjective evaluations
