Sift Sand for Gold: Towards Research Challenges in Big Video Data Computing
Nowadays, billions of videos are captured, hosted and shared in the cloud, and the world has stepped into a multimedia big data era. As an active and interdisciplinary research field, multimedia big data presents great challenges and opportunities for multimedia big data computing. A vast amount of research work has been done in image processing, targeting different aspects of big data analytics, such as the capture, storage, indexing, mining, and retrieval. However, when shifting the attention from images to videos, we are facing several challenges (e.g. it is more challenging to generate video features with temporal correlation; it is more challenging to get correctly labeled video samples for machine learning algorithms; etc.). In this talk, I will mention several of our recent and on-going projects addressing these challenges, and discuss potential future directions in video big data analytics.
Prof. Wenbo HE
Date & Time
19 Dec 2019 (Thursday) 11:00 - 12:00
E11-1006 (University of Macau)
Department of Computer and Information Science
Dr. Wenbo He is currently an Associate Professor in the Department of Computing and Software at McMaster University. Before that she was an Assistant Professor in School of Computer Science at McGill University from 2011 to 2015, an Assistant Professor in the EE department at the University of Nebraska-Lincoln from 2010 to 2011, and an Assistant Professor in the CS department at the University of New Mexico from 2008 to 2010. She had 5-year industry experience (2000-2005) working in Cisco Systems, Inc. in the US. She got the Bachelor and Master Degree on Control Theory in 1995 and 1998 respectively. She got her Ph.D. in 2008 from the Department of Computer Science at the University of Illinois at Urbana-Champaign (UIUC). She received the Mavis Memorial Fund Scholarship Award from the College of Engineering of UIUC in 2006 for “excellent academic performance, research accomplishments, and demonstrated leadership in engineering education”, and the C. W. Gear Outstanding Graduate Award in 2007 for “being one of the best graduate students from the UIUC Department of Computer Science”. She was also a recipient of the prestigious Vodafone Fellowship from 2005 to 2008 for 3 consecutive years, and NSF TRUST Fellowship in 2007& 2009 respectively. Her papers won the Best Paper Award from IEEE Transactions on Industrial Informatics in 2008, and the Best Paper Award from ACM WiSec 2011 (ACM Conference on Security and Privacy in Wireless and Mobile Networks). Her research focuses include big data systems, pervasive & mobile computing, and information privacy and security.