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This paper presents the design of a novel architecture called CARE (Content-Aware Redundancy Elimination) that enables maximizing the informational value that challenged networks offer their users. The authors focus on emerging applications for situational awareness in disaster affected regions. Motivated by advances in computer vision algorithms, they propose to incorporate image similarity detection algorithms in the forwarding path of these networks. The purpose is to handle the large generation of redundant content. They outline the many issues involved in such a vision.
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