Digital multimedia such as images and videos are prevalent on today's internet and cause significant
social impact, which can be evidenced by the proliferation of social networking sites with user generated
contents. Due to the ease of generating and modifying images and videos, it is critical to establish
trustworthiness for online multimedia information. In this paper, we propose novel approaches to
perform multimedia forensics using compact side information to reconstruct the processing history of
a document. We refer to this as FASHION, standing for Forensic hASH for informatION assurance.
Based on the Radon transform and scale space theory, the proposed forensic hash is compact and
can effectively estimate the parameters of geometric transforms and detect local tampering that an
image may have undergone. Forensic hash is designed to answer a broader range of questions regarding
the processing history of multimedia data than the simple binary decision from traditional robust
image hashing, and also offers more efficient and accurate forensic analysis than multimedia forensic
techniques that do not use any side information.