报告题目 ： Discriminative Visual Representations for Image Search and Classification
报告时间：2015年5月12日下午3:00
报告地点：三号学科楼S410会议室
报告人：田奇教授
主持人：刘青山院长
欢迎广大师生踊跃参加!
信息与控制学院
江苏省大数据分析技术重点实验室
江苏省气象能源利用与控制工程技术研究中心
“大气环境与装备技术”协同创新中心
2015年5月11日
报告内容简介 ： The emergence of massive image data has urged effective and efficient techniques towards large-scale image search and classification. Generally, the introduction of local invariant features and the Bag-of-Words model has witnessed the development of both research fields. However, this model suffers from both the information loss during vector quantization and the deficiency in the descriptive power of various aspects of images. In the light of this problem, this talk will present several recent works in our group that focus on the discriminative representations in image search and classification. To be specific, I will first describe feature representations such as binary descriptors, region/part descriptors including CNN, as well as informative quantization. Then, in accordance to the descriptors, I will introduce a series of recently proposed indexing schemes aiming at reducing both memory and time cost, such as cross-index, cascade category-aware index, tensor-index, super-image index, etc. Third, I will present some exciting advances in discriminative feature fusion strategies, such as coupled multi-index, bayes merging, co-index, etc.
报告人简介 ： Qi Tian is currently a Full Professor in the Department of Computer Science, the University of Texas at San Antonio (UTSA). During 2008-2009, he took one-year Faculty Leave at Microsoft Research Asia (MSRA) in the Media Computing Group. He received his Ph.D. in ECE from University of Illinois at Urbana-Champaign (UIUC) in 2002 and his B.E and M.S degrees from Tsinghua University and Drexel University in 1992 and 1996, respectively, all from electronic engineering. Dr. Tian's research interests focus on multimedia information retrieval and computer vision and published over 280 refereed journal and conference papers. He received the Best Paper Award in PCM 2013, ACM ICIMCS 2012 and MMM 2013, a Top 10% Paper Award in MMSP 2011, the Student Contest Paper Award in ICASSP 2006. His research projects are funded by NSF, ARO, DHS, Google, FXPAL, NEC, SALSI, CIAS, Akiira Media Systems, HP and UTSA. He received 2010 ACM Service Award.
