Effective content-based video retrieval using pattern-indexing and matching techniques

Ja Hwung Su, Yu Ting Huang, Hsin Ho Yeh, Vincent Shin-Mu Tseng*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Recently, multimedia data grows rapidly due to the advanced multimedia capturing devices, such as digital video recorder, mobile camera and so on. Since conventional query-by-text retrieval cannot satisfy users' requirements in finding the desired videos effectively, content-based video retrieval is regarded as one of the most practical solutions to improve the retrieval quality. In addition, video retrieval using query-by-image is not successful in associating the videos with user's interest either. In this paper, we propose an innovative method to achieve the high quality of content-based video retrieval by discovering the temporal patterns in the video contents. On basis of the discovered temporal patterns, an efficient indexing technique and an effective sequence matching technique are integrated to reduce the computation cost and to raise the retrieval accuracy, respectively. Experimental results reveal that our approach is very promising in enhancing content-based video retrieval in terms of efficiency and effectiveness.

Original languageEnglish
Pages (from-to)5068-5085
Number of pages18
JournalExpert Systems with Applications
Volume37
Issue number7
DOIs
StatePublished - 1 Jul 2010

Keywords

  • Content-based video retrieval
  • Fast-pattern-index tree
  • Pattern-based search
  • Sequence matching
  • Temporal pattern

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