Multimedia story creation on social networks

The paper aims at proposing an original summarization technique from Online Social Networks (OSNs) for multimedia stories' creation. In particular, for each Multimedia Social Network (MuSN) - i.e. an OSN focusing on the management and sharing of multimedia information - we leverage a graph-based modeling approach and exploit influence analysis methodologies to detect the most important multimedia objects related to one or more topics of interest. Consecutively, from the list of candidate objects we obtain a multimedia summary on the basis of a novel summarization model and some heuristics, whose purpose is to generate multimedia stories with priority (w.r.t. some user keywords), continuity, variety and not receptiveness features. The effectiveness of the proposed approach is shown by the performed experiments on Flickr.