Title
MediaFinder: collect, enrich and visualize media memes shared by the crowd
Abstract
Social networks play an increasingly important role for sharing media items related to human's activities, feelings, emotions and conversations opening a window to the world in real-time. However, these images and videos are spread over multiple social networks. In this paper, we first describe a so-called media server that collect recent images and videos which can be potentially attached to an event. These media items can then be used for the automatic generation of visual summaries. However, making sense out of the resulting media galleries is an extremely challenging task. We present a framework that leverages on: (i) visual features from media items for near-deduplication and (ii) textual features from status updates to enrich, cluster and generate storyboards. A prototype is publicly available at http://mediafinder.eurecom.fr.
Year
DOI
Venue
2013
10.1145/2487788.2488048
WWW (Companion Volume)
Keywords
Field
DocType
social network,important role,challenging task,media gallery,multiple social network,automatic generation,visual feature,so-called media server,visual summary,media item,social media
Storytelling,World Wide Web,Social network,Social media,Computer science,Media server,Multimedia
Conference
ISBN
Citations 
PageRank 
978-1-4503-2038-2
1
0.36
References 
Authors
5
4
Name
Order
Citations
PageRank
Raphaël Troncy11064102.16
Vuk Milicic2102.20
Giuseppe Rizzo334937.75
José Luis Redondo García4467.81