MMM 2018, 24th International Conference on Multimedia Modeling, February 5-8, 2018, Bangkok, Thailand / Also published in LNCS, Vol.10704
Traditional summarization initiatives have been focused on speci c types of documents such as articles, reviews, videos, image feeds, or tweets, a practice which may result in pigeonholing the summarization task in the context of modern, content-rich multimedia collections. Consequently, much of the research to date has revolved around mostly toy
problems in narrow domains and working on single-source media types. We argue that summarization and story generation systems need to refocus the problem space in order to meet the information needs in the age of user-generated content in different formats and languages. Here we create a framework for exible multimedia storytelling. Narratives,
stories, and summaries carry a set of challenges in big data and dynamic multi-source media that give rise to new research in spatial-temporal representation, viewpoint generation, and explanation.
Type:
Conférence
City:
Bangkok
Date:
2018-02-05
Department:
Data Science
Eurecom Ref:
5385
Copyright:
© Springer. Personal use of this material is permitted. The definitive version of this paper was published in MMM 2018, 24th International Conference on Multimedia Modeling, February 5-8, 2018, Bangkok, Thailand / Also published in LNCS, Vol.10704 and is available at : http://doi.org/10.1007/978-3-319-73603-7_51
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