Video event mining via multimodal content analysis and classification

Min Chen, Shu Ching Chen, Mei Ling Shyu, Chengcui Zhang

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

As digital video data become more and more pervasive, the issue of mining information from video data becomes increasingly important. In this chapter, we present an effective multimedia data mining framework for event mining with its application in the automatic extraction of goal events in soccer videos. The extracted goal events can be used for high-level indexing and selective browsing of soccer videos.

Original languageEnglish (US)
Title of host publicationMultimedia Data Mining and Knowledge Discovery
PublisherSpringer London
Pages234-258
Number of pages25
ISBN (Print)1846284368, 9781846284366
DOIs
StatePublished - Dec 1 2007

ASJC Scopus subject areas

  • Computer Science(all)

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    Chen, M., Chen, S. C., Shyu, M. L., & Zhang, C. (2007). Video event mining via multimodal content analysis and classification. In Multimedia Data Mining and Knowledge Discovery (pp. 234-258). Springer London. https://doi.org/10.1007/978-1-84628-799-2_12