Video Mining: Pattern Discovery vs Pattern Recognition (WA-S2)

Author(s) : Ajay Divakaran (Mitsubishi Electric Research Laboratories, USA) Kadir Peker (Mitsubishi Electric Research Laboratories, USA) Shih-Fu Chang (Columbia University, USA) Regunathan Radhakrishnan (Mitsubishi Electric Research Laboratories, USA) Lexing Xie (Columbia University, USA)

Abstract : We examine the significance of video mining as pattern discovery in multimedia content. We examine 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” implies 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.

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