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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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Methods and Challenges in Shot Boundary Detection: A Review.

Sadiq H Abdulhussain1,2, Abd Rahman Ramli1, M Iqbal Saripan1

  • 1Department of Computer and Communication Systems Engineering, Universiti Putra Malaysia, Serdang 43400, Selangor, Malaysia.

Entropy (Basel, Switzerland)
|December 3, 2020
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Summary
This summary is machine-generated.

Automated video analysis is crucial for efficient content retrieval. This review examines shot boundary detection (SBD) methods, highlighting their development, pros, cons, and future challenges for better video indexing and search.

Keywords:
shot boundary detectiontemporal video segmentationvideo browsingvideo content analysisvideo retrieval

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Area of Science:

  • Computer Science
  • Information Technology
  • Multimedia Systems

Background:

  • The proliferation of digital video necessitates efficient storage and retrieval methods.
  • Current text-annotation-based video storage is inefficient for large databases.
  • Automated video structure analysis is vital for effective content-based retrieval.

Purpose of the Study:

  • To provide a comprehensive review of shot boundary detection (SBD) approaches.
  • To analyze the development and evolution of SBD algorithms.
  • To identify challenges and offer recommendations for SBD techniques.

Main Methods:

  • Literature review of existing shot boundary detection (SBD) algorithms.
  • Comparative analysis of different SBD approaches.
  • Exploration of algorithm development and performance.

Main Results:

  • Identified and categorized various SBD methods.
  • Detailed the advantages and disadvantages of each approach.
  • Discussed the evolution and current state of SBD algorithms.

Conclusions:

  • Shot boundary detection (SBD) is a key process for video indexing and retrieval.
  • Understanding SBD algorithm development is crucial for improving video content analysis.
  • Further research is needed to address existing challenges in SBD.