Issue No. 01 - Jan.-March (2013 vol. 20)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MMUL.2013.9
Suman Deb Roy , University of Missouri
Gilad Lotan , SocialFlow
Wenjun Zeng , University of Missouri
Social media gives ordinary people the power to be content creators and information disseminators. This information is embedded in multimedia shared across social networks, containing valuable indications about various facets of human life&#x2013;about what captures our attention, our sharing biases, and the digital traces we abdicate. Social multimedia signal processing aims to transform the noise-like phenomena in social media into signals useful for building novel, socially aware multimedia applications and targeted advertising techniques as well as exploring new marketing methods. With a fresh way to look at the existence of multimedia in online social networks, we can also explore new marketing methods and targeted advertising techniques.
Social network services, Content management, Information processing, Information retrieval, Noise measurement, Marketing and sales, trend drifts, multimedia, social media, social networks, multimedia applications, advertising, Twitter, Facebook, YouTube, media networks, real-time event multimedia
G. Lotan, S. D. Roy and W. Zeng, "Social Multimedia Signals: Sense, Process, and Put Them to Work," in IEEE MultiMedia, vol. 20, no. , pp. 7-13, 2013.