Pattern Mining in Large-Scale Image and Video Sources

  • Shih-Fu Chang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3115)


Detection and recognition of semantic events has been a major research challenge for multimedia indexing. An emerging direction in this field has been unsupervised discovery (mining) of patterns in spatial-temporal multimedia data. Patterns are recurrent, predictable occurrences of one or more entities that satisfy statistical, associative, or relational conditions. Patterns at the feature level may signify the occurrence of primitive events (e.g., recurrent passing of pedestrians). At the higher level, patterns may represent cross-event relations; e.g., recurrent news stories across multiple broadcast channels or repetitive play-break alternations in sports. Patterns in an annotated image collection may indicate collocations of related semantic concepts and perceptual clusters.

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Shih-Fu Chang
    • 1
  1. 1.Digital Video and Multimedia Lab,Department of Electrical EngineeringColumbia UniversityNew YorkUSA

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