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Keynote Speaker:
Assistant Professor Seungmin Rho
Sungkyul Univ., Anyang, Korea
E-mail: korea.smrho@gmail.com
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Abstract:
Recently, with the significant progress of information technologies, a vast amount of digital contents such as images, music, and video are being generated and consumed via diverse devices. Moreover, as online mobile devices such as smart phones have become more popular, digital contents consequently have become more accessible and effective content retrieval and recommendation techniques have been required. In particular, music recommendation techniques produce a music playlist based on various factors such as user preference. Music preferences depend on diverse factors, such as musical characteristics, genre, language and culture. In order to provide satisfactory music recommendations, this dependency should be considered carefully. Presently, typical music recommendations simply involve providing a list of songs that are then played sequentially or randomly. Recently, there has been an increasing demand for new playback methods. In this talk, he will introduce a music system that recommends music effectively and plays them with user interfaces. For analyzing music content, he also present music sequence generation and music structure analysis techniques based on music feature extraction and social network analysis in order to identify general/personal taste for certain music genres that depends on time and location.
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Biography:
Seungmin Rho received his PhD degree in Computer Science from Ajou University, Korea, in Computer Science from Ajou University, Korea, in 2008. In 2008-2009, he was a Postdoctoral Research Fellow at the Computer Music Lab of the School of Computer Science in Carnegie Mellon University. In 2009-2011, he had been working as a Research Professor at School of Electrical Engineering in Korea University. In 2012, he was an assistant professor at Division of Information and Communication in Baekseok University. Dr. Rho is currently a faculty of Department of Multimedia at Sungkyul University. He is an Editor-in-Chief at Journal of Platform Technology. His current research interests include database, big data analysis, music retrieval, multimedia systems, machine learning, knowledge management as well as computational intelligence. He has published more than 100 papers in refereed journals and conference proceedings in these areas. He has been involved in more than 20 conferences and workshops as various chairs and more than 30 conferences/workshops as a program committee member. He has been appointed as an Editor-in-Chief in Journal of Platform Technology since 2013. He has edited a number of international journal special issues as a guest editor, such as Multimedia Systems, Information Fusion, Engineering Applications of Artificial Intelligence, New Review of Hypermedia and Multimedia, Multimedia Tools and Applications, Personal and Ubiquitous Computing, Telecommunication Systems, Ad Hoc & Sensor Wireless Networks and etc. He has received a few awards including Who's Who in America, Who's Who in Science and Engineering, and Who's Who in the World in 2007 and 2008, respectively.
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