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May 6, 2026PeerJ Computer ScienceOpen Access

Shot boundary detection on broadcast news videos using a combination of multiple features

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Authors

PNPiyawat NeammalaiSPSuphakant PhimoltaresCLChidchanok Lursinsap

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Overview

Proposed method improves indexing accuracy in broadcast news videos, indicating robust shot boundary detection.

Key Points

  • The aim is to enhance shot boundary detection in broadcast news videos.
  • Developed a shot boundary detection method incorporating multiple features.
  • Utilized modified block-based histogram features and SURF keypoint matching score.
  • Employed region covariance descriptors and adaptive thresholding framework.
  • Performed experiments on overlapping video segments for consistent boundary localization.
  • Achieved average precision of 0.91, recall of 0.93, and F1-score of 0.92.
  • Demonstrated improvements over conventional handcrafted approaches.
  • Performance comparable to recent deep learning-based methods.

Cite This Study

Neammalai et al. (2026) studied this question.

synapsesocial.com/papers/69faa28f04f884e66b533120https://doi.org/10.7717/peerj-cs.3785
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