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Pattern Recognition and Image Analysis

, Volume 28, Issue 1, pp 53–58 | Cite as

Relative Flow Estimates for Shot Boundary Detection

  • Muwei Jian
  • Yilong Yin
  • Junyu Dong
Representation, Processing, Analysis, and Understanding of Images
  • 26 Downloads

Abstract

This paper proposes a simple approach based on Relative Flow Estimates (RFE) for shot cut detection. The property of Relative flow estimates can be used for abrupt cut detection and a correction mechanism for gradual camera-shot transition detection (e.g., fade-in and fade-out, dissolves, wipes). The exacted feature vector in each frame can be mapped into a 3-D space along the continuous time axis, and these feature data can be treated as a virtually constructed pipe with fluid flowing in the 3-D axis. Compared with existing approaches, the new RFE-based algorithm can directly detect shot cut. A wide range of test videos are used to evaluate the performance of the proposed method. The experimental results show that the new scheme can produce promising results.

Keywords

shot boundary detection relative flow estimates correction nechanism 

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Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  1. 1.School of Computer Science and TechnologyShandong University of Finance and EconomicsJinanChina
  2. 2.Department of Computer Science and TechnologyOcean University of ChinaQingdaoChina

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