Adaptive association rule mining for web video event classification

Chengde Zhang, Xiao Wu, Mei Ling Shyu, Qiang Peng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Due to the popularity and development of social networks and web video sites, we have witnessed an exponential growth in the volumes of web videos in the last decade. This prompts an urgent demand for efficiently grasping the major events. Nevertheless, the insufficient and noisy text information has made it difficult and challenging to mine the events based on the initial keywords and visual features. In this paper, we propose an adaptive semantic association rule mining method in the NDK (Near-Duplicate Keyframes) level to enrich the keyword information and to remove the words without any semantic relationship. Moreover, both textual and visual information are employed for event classification, targeting for bridging the gap between NDKs and the high-level semantic concepts. Experimental results on large scale web videos from YouTube demonstrate that our proposed method achieves good performance and outperforms the selected baseline methods.

Original languageEnglish (US)
Title of host publicationProceedings of the 2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013
PublisherIEEE Computer Society
Pages618-625
Number of pages8
ISBN (Print)9781479910502
DOIs
StatePublished - Jan 1 2013
Event2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013 - San Francisco, CA, United States
Duration: Aug 14 2013Aug 16 2013

Publication series

NameProceedings of the 2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013

Other

Other2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013
CountryUnited States
CitySan Francisco, CA
Period8/14/138/16/13

Keywords

  • Adaptive Association Rule Mining
  • Near-Duplicate Keyframes (NDK)
  • Web Video Event Classification

ASJC Scopus subject areas

  • Information Systems

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  • Cite this

    Zhang, C., Wu, X., Shyu, M. L., & Peng, Q. (2013). Adaptive association rule mining for web video event classification. In Proceedings of the 2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013 (pp. 618-625). [6642526] (Proceedings of the 2013 IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013). IEEE Computer Society. https://doi.org/10.1109/IRI.2013.6642526