Abstract
In recent years, various Web-based sharing and community services such as Flickr and YouTube have made a vast and rapidly growing amount of multimedia content available online. Uploaded by individual participants, content in these immense pools of content is accompanied by varied types of metadata, such as social network data or descriptive textual information. These collections present, at once, new challenges and exciting opportunities for multimedia research. This article presents an approach for "social multimedia" applications. The approach is based on the experience of building a number of successful applications that are based on mining multimedia content analysis in social multimedia context.
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