Summarizing social media content for multimedia stories creation

This article represents an extended abstract of our previous work on multimedia summarization. In particular, we propose a novel summarization technique of social media content for multimedia stories creation, using a graph- based modeling approach and influence analysis methodologies to detect the most important multimedia objects related to one or more topics of interest. Consecutively, from the list of candidates, we obtain a multimedia summary exploiting a summarization model that satisfies several properties such as Priority (w.r.t. user keywords), Continuity, Variety and not Repetitiveness. The summary objects are finally arranged in a multimedia story.