Abstract
This paper discusses and compares various approach to automatic landmark recognition in pictures, based upon image content analysis and classification. The paper first compares various visual features and image similarity functions based on local features. Finally it discusses and compares a new classification technique to decide the landmark contained in an image that first classifies the local features of the image and then uses this result in order to take a final decision on the entire image. Experiments demonstrate this last approach is the most effective one. The discussed techniques were used and tested in the project VISITO Tuscany.
Categories and Subject Descriptors: H.3 [Information Storage and Retrieval]: H.3.3 Information Search and Retrieval;
This work was partially supported by the VISITO Tuscany project, funded by the Regione Toscana, Italy within the POR CREO FESR program.
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Amato, G., Falchi, F., Rabitti, F. (2012). Landmark Recognition in VISITO Tuscany. In: Grana, C., Cucchiara, R. (eds) Multimedia for Cultural Heritage. MM4CH 2011. Communications in Computer and Information Science, vol 247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27978-2_1
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DOI: https://doi.org/10.1007/978-3-642-27978-2_1
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