Abstract
We present a first system to semi-automatically create a visual representation for a given, short text. We first parse the input text, decompose it into suitable units, and construct meaningful search terms. Using these search terms we retrieve a set of candidate images from online photo collections. We then select the final images in a user-assisted process and automatically create a storyboard or photomatic animation. We demonstrate promising initial results on several types of texts. © Springer-Verlag 2010.
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CITATION STYLE
Schwarz, K., Rojtberg, P., Caspar, J., Gurevych, I., Goesele, M., & Lensch, H. P. A. (2010). Text-to-video: Story illustration from online photo collections. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6279 LNAI, pp. 402–409). https://doi.org/10.1007/978-3-642-15384-6_43
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