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Generating Multimedia Storyline for Effective Disaster Information Awareness
2019
IEEE Access
Storyline generation has emerged to be an effective method to describe the evolution of disaster. However, due to the temporal-spatial, heterogeneous, and information overload, most of the existing storylines are only based on textual data and deliver limited information. In this paper, we introduce a novel framework for generating multimedia storylines to provide more concise and vivid information and deeper understanding of real-time events. We first adopt generative adversarial networks to
doi:10.1109/access.2019.2907164
fatcat:bhq32m5hyvbylnxp23csotp4hq