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Chang is an active researcher leading development of novel theories, algorithms, and systems for content-based image video search, machine learning, multimedia analytics, as well as media forensics. His work has been influential in shaping the vibrant fields of content-based multimedia retrieval. In the 90’s, he and his students developed several of the first image/video search engines, such as VisualSEEk, VideoQ, and WebSEEk. Other significant developments include large-scale concept-based video search engines (e.g., CuZero), a large public library of image classification models (e.g., Columbia374), international multimedia indexing standards (e.g., MPEG-7 and MPEG-21), and large multimedia ontologies (e.g., LSCOM). In addition, Chang has led cross-disciplinary projects, including a DAVIC Video on Demand international interoperability test, a medical video library under Columbia's Health Care Digital Library, and the ADVENT university-industry research consortium with the participation of more than 25 industry sponsors. Many video indexing technologies developed by his group have been licensed to companies. He has received the IEEE Kiyo Tomiyasu technical field award, IBM Faculty Award, NSF CAREER Award, and ONR Young Investigator Award. He and his students have won many best paper awards and best student paper awards from IEEE, ACM, and SPIE. He has served as the Editor-in-Chief of the IEEE Signal Processing Magazine from 2006-8, and advisor for several media technology companies and research institutions. His research has been broadly supported, with about 40 grants and US$30M so far, by government agencies (NSF, DARPA, IARPA, NGA, ONR, NY State) as well as a large number of industry sponsors. He is an IEEE Fellow and currently the Department Chair of the Electrical Engineering Department of Columbia University.
Opening of the ACM Multimedia 2010 conference
as author at ACM Multimedia 2010 International Conference,