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.
Summarizing social media content for multimedia stories creation
Moscato F.;
2019
Abstract
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.