Abstract
One of the main research trends over the last years has focused on knowledge extraction from social networks users. One of the main difficulties of this analysis is the lack of structure of the information and the multiple formats in which it can appear. The present article focuses on the analysis of the information provided by different users in image form. The problem that is intended to be solved is the detection of equal images (although they may have minimal transformations, such as a watermark), which allows establishing links between users who publish the same images. The solution proposed in the article is based on the comparison of hashes, which allows certain transformations that can be made to an image from a computational point of view.
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Acknowledgments
This work was carried out under the frame of the project with ID RTC-2016-5642-6. The research of Pablo Chamoso has been financed by the Regional Ministry of Education in Castilla y León and the European Social Fund.
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Chamoso, P., Rivas, A., Martín-Limorti, J.J., Rodríguez, S. (2018). A Hash Based Image Matching Algorithm for Social Networks. In: De la Prieta, F., et al. Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection - 15th International Conference, PAAMS 2017. PAAMS 2017. Advances in Intelligent Systems and Computing, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-61578-3_18
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DOI: https://doi.org/10.1007/978-3-319-61578-3_18
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