Abstract
It is proposed a step towards the automatic description of scenes with a geometric approach. The scenes considered are composed by a set of elements that can be geometric forms or iconic representation of objects. Every icon is characterized by a set of attributes like shape, colour, position, orientation. Each scene is related to a set of sentences describing its content. The proposed approach builds a data driven vector semantic space where the scenes and the sentences are mapped. Sentences and scene with the same meaning are mapped in near vectors and distance criteria allow retrieving semantic relations.
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Vella, F., Pilato, G., Vassallo, G., Gaglio, S. (2005). A Geometric Approach to Automatic Description of Iconic Scenes. In: Ali, M., Esposito, F. (eds) Innovations in Applied Artificial Intelligence. IEA/AIE 2005. Lecture Notes in Computer Science(), vol 3533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11504894_43
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DOI: https://doi.org/10.1007/11504894_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-26551-1
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