Efficient content-based video retrieval by mining temporal patterns

Ja Hwung Su, Yu Ting Huang, S. Tseng*

*Corresponding author for this work

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

4 Scopus citations

Abstract

In recent years, multimedia content processing has become a hot topic with the rapid development of information technology and popularity of World Wide Web. Among the emerging research topics, content-based video retrieval is an attractive and challenging one since query-by-text cannot provide the users with good support in finding the desired videos effectively. In addition, query-by-image also fails in reducing the gap between the image and user's interest. In this paper, we propose an innovative method for achieving effective content-based video retrieval by mining the temporal patterns in the video contents. Based on the temporal patterns, an efficient indexing technique is proposed to reduce the computation cost in searching videos. Experimental results show that our approach delivers excellent performance for content-based video retrieval in terms of efficiency and effectiveness.

Original languageEnglish
Title of host publicationProceedings of the MDM 2008 Workshop - 9th International Workshop on Multimedia Data Mining, Held in Conjunction with the ACM SIGKDD 2008
Pages36-42
Number of pages7
DOIs
StatePublished - 1 Dec 2008
Event9th International Workshop on Multimedia Data Mining, MDM 2008, Held in Conjunction with the ACM SIGKDD 2008 - Las Vegas, NV, United States
Duration: 24 Aug 200824 Aug 2008

Publication series

NameProceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Conference

Conference9th International Workshop on Multimedia Data Mining, MDM 2008, Held in Conjunction with the ACM SIGKDD 2008
CountryUnited States
CityLas Vegas, NV
Period24/08/0824/08/08

Keywords

  • Content-based video retrieval
  • Fast-patternindex tree
  • Sequence matching
  • Temporal patterns
  • Video data mining

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