Abstract
The advance of the Internet in the past decade has radically changed the way people communicate and collaborate with each other. Physical distance is no more a barrier in online social networks, but cultural differences (at the individual, community, as well as societal levels) still govern human-human interactions and must be considered and leveraged in the online world. The rapid deployment of high-speed Internet allows humans to interact using a rich set of multimedia data such as texts, pictures, and videos. This position paper proposes to define a new research area called ‘connected multimedia’, which is the study of a collection of research issues of the super-area social media that receive little attention in the literature. By connected multimedia, we mean the study of the social and technical interactions among users, multimedia data, and devices across cultures and explicitly exploiting the cultural differences. We justify why it is necessary to bring attention to this new research area and what benefits of this new research area may bring to the broader scientific research community and the humanity.
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On leave from Computer Science Department, State University of New York at Binghamton, USA
Introducing editorial board member: Zhongfei ZHANG is a Qiushi Professor at Department of Information Science and Electronic Engineering, Zhejiang University, China. He is on leave from State University of New York (SUNY) at Binghamton, USA, where he is a professor of computer science, and director of the Multimedia Research Laboratory. He received a B.S. in Electronics Engineering (with Honors), an M.S. in Information Sciences, both from Zhejiang University, China, and a Ph.D. in Computer Science from the University of Massachusetts at Amherst, USA. He was on the faculty of Computer Science and Engineering Department, and a research scientist at the Center of Excellence for Document Analysis and Recognition, both at SUNY Buffalo, before he joined the faculty of computer science at SUNY Binghamton. His research focuses on data mining and knowledge discovery, specifically on multimedia data mining (e.g., concept discovery from large-scale imagery/video data) and relational data mining (e.g., community discovery from large-scale relational data), as well as general pattern recognition. He is the author of the very first monograph on multimedia data mining and the very first monograph on relational data clustering. His research has been funded by a number of government agencies including US NSF, US AFOSR, US AFRL, French CNRS, Japanese JSPS, and Chinese Ministry of Science and Technology as well as industry research labs including Kodak Research and Microsoft Research. He holds more than 10 inventions, has served as a reviewer/PC member for many conferences and journals every year, has held the positions as regular grant review panelists for federal government funding agencies (NSF and NASA), New York State government funding agencies, and private funding agencies, and is currently in the editorial boards for several journals, including Journal of Zhejiang University-SCIENCE C (Computers & Electronics). He has also served as a technical consultant for a number of industrial and governmental organizations.
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Zhang, Z., Zhang, Z., Jain, R. et al. Societally connected multimedia across cultures. J. Zhejiang Univ. - Sci. C 13, 875–880 (2012). https://doi.org/10.1631/jzus.C1200279
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DOI: https://doi.org/10.1631/jzus.C1200279