Abstract
We describe an approach for viewing any large, detail-rich picture on a small display by generating a video from the image, as taken by a virtual camera moving across it at varying distance. Our main innovation is the ability to build the virtual camera’s motion from a textual description of a picture, e.g., a museum caption, so that relevance and ordering of image regions are determined by co-analyzing image annotations and natural language text. Furthermore, our system arranges the resulting presentation such that it is synchronized with an audio track generated from the text by use of a text-to-speech system.
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Reiterer, B., Concolato, C., Hellwagner, H. (2010). Natural-Language-Based Conversion of Images to Mobile Multimedia Experiences. In: Daras, P., Ibarra, O.M. (eds) User Centric Media. UCMEDIA 2009. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 40. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12630-7_10
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DOI: https://doi.org/10.1007/978-3-642-12630-7_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12629-1
Online ISBN: 978-3-642-12630-7
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