Abstract: Increasingly rich and large-scale social multimedia data
(including text, images, audio, video) are being generated and posted to
social networking and media sharing websites. Researchers from
multidisciplinary areas are developing methods for processing social
multimedia and employing such rich multi-modality data for various
applications. We present a few recent advances in this nascent area,
including suggesting suitable social groups from a user's personal photo
collection, producing popular and diverse tourism routes from crowd-sourced
geotagged photos, predicting academic performance from class social networks
and assignments, forecasting election outcome based on image sharing
activities and image sentiments, and so on. We will also share some initial
findings regarding cultural differences in social multimedia between US and
China.

Biography: Jiebo Luo joined the University of Rochester in Fall 2011 after
over fifteen years at Kodak Research Laboratories, where he was a Senior
Principal Scientist leading research and advanced development. He has been
involved in numerous technical conferences, including serving as t he
program co-chair of ACM Multimedia 2010 and IEEE CVPR 2012. He is the
Editor-in-Chief of the Journal of Multimedia, and has served on the
editorial boards of the IEEE Transactions on Pattern Analysis and Machine
Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Circuits
and Systems for Video Technology, Pattern Recognition, Machine Vision and
Applications, and Journal of Electronic Imaging. He is a Fellow of the SPIE,
IEEE, and IAPR.