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

  • Authors:

  • Ja-Hwung Su;Yu-Ting Huang;Hsin-Ho Yeh;Vincent S. Tseng

  • Affiliations:

  • Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 701, Taiwan, ROC;Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 701, Taiwan, ROC;Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 701, Taiwan, ROC;Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan 701, Taiwan, ROC

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2010

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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.