Integration of global and local information in videos for key frame extraction

Dianting Liu, Mei Ling Shyu, Chao Chen, Shu Ching Chen

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

7 Scopus citations

Abstract

Key frame extraction methods aim to obtain a set of frames that can efficiently represent and summarize video contents and be reused in many video retrieval-related applications. An effective set of key frames, viewed as a high-quality summary of the video, should include the major objects and events of the video, and contain little redundancy and overlapped content. In this paper, a new key frame extraction method is presented, which not only is based on the traditional idea of clustering in the feature extraction phase but also effectively reduces redundant frames using the integration of local and global information in videos. Experimental results on the TRECVid 2007 test video dataset have demonstrated the effectiveness of our proposed key frame extraction method in terms of the compression rate and retrieval precision.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Information Reuse and Integration, IRI 2010
Pages171-176
Number of pages6
DOIs
StatePublished - Oct 22 2010
Event11th IEEE International Conference on Information Reuse and Integration, IRI 2010 - Las Vegas, NV, United States
Duration: Aug 4 2010Aug 6 2010

Publication series

Name2010 IEEE International Conference on Information Reuse and Integration, IRI 2010

Other

Other11th IEEE International Conference on Information Reuse and Integration, IRI 2010
CountryUnited States
CityLas Vegas, NV
Period8/4/108/6/10

Keywords

  • Clustering
  • Information integration
  • Key frame extraction
  • SIFT

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

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  • Cite this

    Liu, D., Shyu, M. L., Chen, C., & Chen, S. C. (2010). Integration of global and local information in videos for key frame extraction. In 2010 IEEE International Conference on Information Reuse and Integration, IRI 2010 (pp. 171-176). [5558944] (2010 IEEE International Conference on Information Reuse and Integration, IRI 2010). https://doi.org/10.1109/IRI.2010.5558944