Graduate School and Research Center in Digital Sciences

Event analysis in social multimedia: A survey

Liu, Xueliang; Wang, Meng; Huet, Benoit

Frontiers of Computer Science, SP Higher Education Press, Springer, June 2016, Vol.10, N°3

Recent years have witnessed the rapid growth of social multimedia data available over the Internet. The age of huge amount of media collection provides users facilities to share and access data, while it also demands the revolution of data management techniques, since the exponential growth of social multimedia requires more scalable, effective and robust technologies to manage and index them. The event is one of the most important cues to recall people's past memory. The reminder value of an event makes it extremely helpful in organizing data. The study of event based analysis on social multimedia data has drawn intensive attention in research community. In this article, we provide a comprehensive survey on event based analysis over social multimedia data, including event enrichment, detection, and categorization. We introduce each paradigm and summarize related research efforts. In addition, we also suggest the emerging trends in this research area.

Document Doi Bibtex

Title:Event analysis in social multimedia: A survey
Keywords:event enrichment, event detection, event categorization
Type:Journal
Language:English
City:
Date:
Department:Data Science
Eurecom ref:4594
Copyright: © Springer. Personal use of this material is permitted. The definitive version of this paper was published in Frontiers of Computer Science, SP Higher Education Press, Springer, June 2016, Vol.10, N°3 and is available at : http://dx.doi.org/10.1007/s11704-015-4583-2
Bibtex: @article{EURECOM+4594, doi = {http://dx.doi.org/10.1007/s11704-015-4583-2}, year = {2015}, month = {09}, title = {{E}vent analysis in social multimedia: {A} survey}, author = {{L}iu, {X}ueliang and {W}ang, {M}eng and {H}uet, {B}enoit }, journal = {{F}rontiers of {C}omputer {S}cience, {SP} {H}igher {E}ducation {P}ress, {S}pringer, {J}une 2016, {V}ol.10, {N}°3}, url = {http://www.eurecom.fr/publication/4594} }
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