报告题目：From Big Multimedia Data to Real-World Visual Search
(& an introduction to the upcoming Alibaba Image Search Challenge)
报告时间：2015年9月18日（周五）9:30
报告地点：太阳集团1088vip南一楼中311室
报 告 人：Xian-Sheng Hua, Researcher/Senior Director, Alibaba Group
报告摘要 Abstract:
Visual search has been studied for decades since 1990s and it was called “content-based image retrieval” in the beginning. It almost died in the early 21st century and then becomes very hot in recent years mainly due to the rapid development of distributed computing, high-dimensional indexing, deep learning and big data analytical techniques. Many visual search research prototypes and preliminary products are available to the public. However, is real-world visual search really coming? Have we solved all the big technical and non-technical challenges? Are semantic gaps and intention gaps still there, and do they really matter? How big data analyses and deep learning techniques can help here? Are people really using it and why do they want to use it? Which direction that visual search is going towards? What are still missing? In this talk, we will discuss all these questions based on a real-world visual search engine that has a considerable number of users. And we will also introduce the upcoming “Alibaba Large-Scale Image Search Challenge”, in which we will award more than 400K RMB in total to winning teams.
报告人简介Bio:
Dr Xian-Sheng Hua became a Researcher and Senior Director of Alibaba Group in April of 2015, leading the multimedia technology team in the Search Division. Before that, he was a senior researcher of Microsoft Research Redmond since 2013, worked on Web-scale image and video understanding and search, as well as related applications. He was a Principal Research and Development Lead in Multimedia Search for the Microsoft search engine, Bing, since 2011, where he led a team that designed and delivered leading-edge media understanding, indexing and searching features. He joined Microsoft Research Asia in 2001 as a researcher. Since then, his research interests have been in the areas of multimedia search, advertising, understanding, and mining, as well as pattern recognition and machine learning. He has authored or co-authored more than 250 research papers in these areas and has filed more than 90 patents. Dr Hua received his BS in 1996 and PhD in applied mathematics in 2001 from Peking University, Beijing. He served or is now serving as an associate editor of IEEE Transactions on Multimedia and an associate editor of ACM Transactions on Intelligent Systems and Technology. He was vice program chair; workshop organizer; senior TPC member and area chair; and demonstration, tutorial, and special session chairs and PC member of many more international conferences. He served as a program co-chair for IEEE ICME 2013, ACM Multimedia 2012, and IEEE ICME 2012, as well as on the Technical Directions Board of IEEE Signal Processing Society. He was honored as one of the recipients of the prestigious 2008 MIT Technology Review TR35 Young Innovator Award for his outstanding contributions to video search. He won the Best Paper and Best Demonstration Awards at ACM Multimedia 2007, the Best Poster Award at IEEE International Workshop on Multimedia Signal Processing 2008, the Best Student Paper Award at ACM Conference on Information and Knowledge Management 2009, the Best Paper Award at International Conference on MultiMedia Modeling 2010, the best demonstration award at ICME 2014 and best paper award of IEEE Trans. On CSVT in 2014. He was named one of Global Entrepreneur's "Business Elites of People under 40 to Watch" in 2009.
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