Abstract
The multiplication of execution contexts for multimedia documents requires the adaptation of the document specification to the particularities of the contexts. In this paper, we propose to apply a semantic approach for multimedia document adaptation to the spatio-temporal dimension of documents. To guarantee that the adapted document is close to the initial one respecting adaptation constraints, we define proximities for adapting static documents (i.e., documents without animations) and animated documents. Moreover, we show that these proximities can be refined according to multimedia object properties (e.g., images, videos...). The approach is illustrated by an example.
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Laborie, S. (2006). Spatio-temporal Proximities for Multimedia Document Adaptation. In: Euzenat, J., Domingue, J. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2006. Lecture Notes in Computer Science(), vol 4183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11861461_15
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DOI: https://doi.org/10.1007/11861461_15
Publisher Name: Springer, Berlin, Heidelberg
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