As multimedia content become popular in mobile and online communication, many opportunities arise in integrating multimedia analytics tools in applications such as personalized news, sentiment prediction, event detection, and distributed surveillance. I will describe a few projects in these areas highlighting the novel capabilities and on-going research efforts.
Shih-Fu Chang is a leading researcher in multimedia information retrieval, computer vision, signal processing, and machine learning. His work set trends in research of content-based image search, video recognition, image authentication, multimodal analysis, compact hashing for large-scale search, and novel applications of visual search in brain machine interface and mobile systems. Impact of his work can be seen in more than 350 peer-reviewed publications, a large number of best paper awards, 34 issued patents, and technologies licensed to companies. He has been recognized with the IEEE Signal Processing Society Technical Achievement Award, ACM Multimedia Special Interest Group Technical Achievement Award, IEEE Kiyo Tomiyasu Award, ONY Young Investigator Award, IBM Faculty Award, NSF CAREER Award, and the Great Teacher Award from the Society of Columbia Graduates. He served as the Editor-in-Chief of the IEEE Signal Processing Magazine during 2006-8. In his current capacity as Senior Executive Vice Dean of Columbia Engineering School, he plays a key role in strategic planning, special research initiatives, and faculty development. He is a Fellow of IEEE and the American Association for the Advancement of Science.