Social Media and Networks for Multimedia Content Management - Part 1

[special issue]

Full reference

S. Laborie, Ph. Mylonas, Ph. Roose and M. Wallace, Social Media and Networks for Multimedia Content Management - Part 1 , International Journal of Virtual Communities and Social Networking, volume 7, issue 2, 2015

Abstract

The Social Web and particularly Social Media data has grown considerably in the past few years. The use of a wide range of devices (smartphones, tablets, smartTV, IoT, etc.) to produce, store, view and exchange multimedia contents, and the « always-on » users connection to the Web continue to increase this phenomenon. Actually, through several devices, many famous sites offer to users to publish and to share on the Web multimedia contents (such as videos, photos, comments), to recommend and to connect those resources with their social audiences (e.g., friends, family, colleagues), to freely tag or annotate contents, and to evaluate with detailed statistics the popularity of a published data. For instance, Flickr and YouTube offer services for media publishing and sharing. Published contents can then be promoted and evaluated on the Facebook and Twitter platforms. Those platforms can be used anytime, anywhere and anyhow (i.e., with different devices, handled or not).

As a consequence, a huge amount of heterogeneous social media data can be generated, enriched and exploited for creating new research opportunities and challenges. As an example, information about some content creators and consumers with their related social contexts as well as the metadata associated to the media resources can be used by an adaptation process or a recommendation engine in order to personalize the way that some contents will be displayed.

In this Special Issue, we present original papers that tackle challenges or issues relating to exploit the social media and networks for multimedia content management, such as content annotation, document adaptation, information personalization and data recommendation. Four papers have been selected for this Special Issue and report the latest advances on the technologies, algorithms, models, standards and applications in such topics.

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