Forensic Event Analysis: From Seemingly Unrelated Data to Understanding

Abstract

We discuss the problem of restructuring visual data from different heterogeneous sources to analyze an event of interest. We present X-coherence: a pipeline aiming at organizing and representing pieces of data, tying them coherently with the real world, and with one another. Finally, we outline research challenges while seeking X-coherence.

@article{padilha2020forensic,
  title={Forensic Event Analysis: From Seemingly Unrelated Data to Understanding},
  author={Padilha, Rafael and M. Rodrigues, Caroline and A. Andal{\'o}, Fernanda and Bertocco, Gabriel and Dias, Zanoni and Rocha, Anderson},
  journal={IEEE Security and Privacy},
  year={2020},
  publisher={IEEE}
}