Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
May 6, 2026PeerJ Computer ScienceOpen Access

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

View Full Paper
Ask AI
Bookmark
Share

Authors

PNPiyawat NeammalaiSPSuphakant PhimoltaresCLChidchanok Lursinsap

Discussion

Loading...

Member takes

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
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks2017 · 45 citations
  2. 2Efficient Shot Boundary Detection with Multiple Visual Representations2022 · 12 citations
  3. 3Video Shot Boundary Detection Based on Feature Fusion and Clustering Technique2020 · 17 citations
  4. 4The Detection of Video Shot Transitions Based on Primary Segments Using the Adaptive Threshold of Colour-Based Histogram Differences and Candidate Segments Using the SURF Feature Descriptor2022 · 10 citations