People are more and more interconnected online and active
in publishing and sharing their thoughts, feelings, activity,
and recorded experiences in media items within their social
networks. This new massive amount of data is however
usually locked into proprietary platforms with evolving privacy
policies. We are interested in indexing and analyzing
photos and videos shared on the Web and in studying their
diffusion as well as the correlations we can deduce based
on subject matters depicted. We are advocating the use of
semantic web and forensic imaging technologies for providing
new tools to protect users privacy. We use linked data
technologies to represent and expose all metadata gathered
during these analysis processes. We are actively working in
the W3C Media Fragments Working Group for standardizing
how to express media fragments in a URI. Finally, we are
developing environments that enable contextualized exploration
of multimedia content within social networks revealing
unexpected connections between objects and people.
