MITSUBISHI ELECTRIC RESEARCH LABORATORIES http://www.merl.com Video Mining: Pattern Discovery Versus Pattern Recognition Ajay Divakaran, Kadir A. Peker, Shih-Fu Chang, Regunathan Radhakrishnan, Lexing Xie TR2004-127 December 2004 Abstract We examine the significance of video mining as pattern discovery in multimedia content. We ex- amine the underlying issue of pattern discovery versus pattern recognition, since most past work has not drawn such a sharp distinction. We argue that while the term ¨ pattern discovery¨ ımplies a purely unsupervised approach, in practice a mixture of unsupervised and supervised techniques will have to be used. We compare conventional data mining with video mining and observe that a key difference is in the multi-layered semantics of multimedia content. We then identify significant challenges posed by video mining. IEEE International Conference on Image Processing (ICIP) This work may not be copied or reproduced in whole or in part for any commercial purpose. Permission to copy in whole or in part without payment of fee is granted for nonprofit educational and research purposes provided that all such whole or partial copies include the following: a notice that such copying is by permission of Mitsubishi Electric Research Laboratories, Inc.; an acknowledgment of the authors and individual contributions to the work; and all applicable portions of the copyright notice. Copying, reproduction, or republishing for any other purpose shall require a license with payment of fee to Mitsubishi Electric Research Laboratories, Inc. All rights reserved. Copyright c Mitsubishi Electric Research Laboratories, Inc., 2004 201 Broadway, Cambridge, Massachusetts 02139