报告时间：2016年4月20日（周三）北京时间晚20：00报告题目：Video Content Recognition with Deep Learning报告摘要：Nowadays people produce a huge number of videos; many are uploaded to the Internet on social media sites such as YouTube and Youku. There is a strong need to develop automatic solutions for recognizing the contents of these videos. Potential applications of such techniques include effective video content management and retrieval, open-source intelligence analysis, etc. In this talk, I will introduce our recent works on video content analysis. I will start by introducing a few recently constructed Internet video datasets. After that I will introduce several recent approaches for video analysis with a focus on deep learning methods.Paper title, authors, Journal, 20151. Zuxuan Wu, Xi Wang, Yu-Gang Jiang, Hao Ye, Xiangyang Xue. Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video Classification. In ACM Multimedia (ACM MM), Brisbane, Australia, Oct. 2015.2. Yu-Gang Jiang, Zuxuan Wu, Jun Wang, Xiangyang Xue, Shih-Fu Chang. Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks. arXiv preprint arXiv:1502.07209.3. Hao Ye, Zuxuan Wu, Rui-Wei Zhao, Xi Wang, Yu-Gang Jiang, Xiangyang Xue. Evaluating Two-Stream CNN for Video Classification. In ACM International Conference on Multimedia Retrieval (ICMR), Shanghai, China, June 2015.Zuxuan Wu is a third-year master student in School of Computer Science, Fudan University, advised by Prof. Yu-Gang Jiang and Prof. Xiangyang Xue. His research interests focus on the development of novel algorithms and systems for large-scale video understanding.He designed a few best performing systems for several international benchmark competitions.
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