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

Liu, D, Shyu, ML, Chen, C et al. (2010). Integration of global and local information in videos for key frame extraction . 171-176. 10.1109/IRI.2010.5558944

cited authors

  • Liu, D; Shyu, ML; Chen, C; Chen, SC

fiu authors

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. © 2010 IEEE.

publication date

  • October 22, 2010

Digital Object Identifier (DOI)

International Standard Book Number (ISBN) 13

  • 9781424480975

start page

  • 171

end page

  • 176