In the recent years, the global penetration of Internet and the rapid spread of mobile devices have led to an exponential rise of trade in counterfeit and pirated goods with a negative impact on the profits of affected firms and consequently damage for employment and economic growth. This peculiar online trade has taken place mostly on deep web, but today it has started to shift to common IM platform and image based social networks. Regard to this context, this work presents a specific multimedia analytics platform, that monitors image catalogues promoting potential counterfeit products on social networks in order to extract useful information (as email, WeChat or WhatsApp, external links to specific online marketplaces) and profile the potential fakers. The preliminary results, derived by considering the image catalogues shared by various sellers on image based social networks, show the effectiveness of the proposed multimedia analytics methodologies.
Federica Mangiatordi, Andrea Bernardini, Emiliano Pallotti, Licia Capodiferro, "Multimedia analytics platform for profiling keywords embedded in photo catalogues" in Proc. IS&T Int’l. Symp. on Electronic Imaging: Imaging and Multimedia Analytics in a Web and Mobile World, 2018, pp 445-1 - 445-5, https://doi.org/10.2352/ISSN.2470-1173.2018.10.IMAWM-445