Multimedia Tools and Applications

, Volume 76, Issue 7, pp 10169–10190 | Cite as

Fuzzy color distribution chart -based shot boundary detection

  • Jiyun Fan
  • Shangbo Zhou
  • Muhammad Abubakar Siddique
Article

Abstract

Shot boundary detection is an important research topic in the field of video processing technology, which has a wide range of applications in video indexing, pattern recognition, video summarization, video classification, video retrieval, etc. Shot boundary detection includes both abrupt (cut) and gradual transition detection. In this paper, a new method is proposed for extracting the feature from frames of a video. We name the proposed method as fuzzy color distribution chart (FCDC). FCDC can be used to describe the spatial distribution of colors and avoid the influences of noise, slight illumination and insertions such as words and logos. Based on the FCDC, a new algorithm is put forward for shot boundary detection, which can distinguish the gradual transition if there are quickly moving objects in the frames. Our proposed algorithm can be employed to suppress some defects of shot boundary detection that cannot be solved completely, and the experimental results show that the improved algorithm can detect the shot boundary more accurately than some existing researches.

Keywords

Shot boundary detection FCDC SIFT feature Gradual transition Abrupt transition 

Notes

Acknowledgments

This work was supported by the major project of Fundamental Science and Frontier Technology Research of Chongqing CSTC (Grant No. cstc2015jcyjBX0124)

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Copyright information

© Springer Science+Business Media New York 2016

Authors and Affiliations

  • Jiyun Fan
    • 1
    • 2
  • Shangbo Zhou
    • 1
    • 2
  • Muhammad Abubakar Siddique
    • 1
  1. 1.Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of EducationChongqing UniversityChongqingChina
  2. 2.College of Computer ScienceChongqing UniversityChongqingChina

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