Key Frame Extraction Based on Motion Vector

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9917)

Abstract

Video key frame extraction is a video summarization technique which is used to recapitulate and describe the most important segments of video sequence. Video clips containing motion information are more likely to draw users’ attention. Accordingly, we propose a novel key frame extraction scheme based on motion vector. A video sequence is partitioned into shots by distance between consecutive video frames calculated by Relative Entropy (RE). Difference of magnitude of motion vector between neighboring video images within a shot is computed to localize video clips containing significant content changes. And such segments are defined as active sub-shots in this paper. The key frames are extracted from each active sub-shots and other inactive sub-shots by exploiting different algorithms. Experimental results show that our proposed method obtains exact and complete results in video key frame extraction.

Keywords

Key frame extraction Motion vector 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Ziqian Qiang
    • 1
  • Qing Xu
    • 1
  • Shihua Sun
    • 1
  • Mateu Sbert
    • 1
    • 2
  1. 1.School of Computer Science and TechnologyTianjin UniversityTianjinChina
  2. 2.Graphics and Imaging LabUniversitat de GironaGironaSpain

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