Leveraging 3D convolutional networks for effective video feature extraction in video summarization

Bhakti Deepak Kadam, Ashwini Mangesh Deshpande

Open source

DOI: 10.11591/ijeecs.v37.i3.pp1616-1625
Published: 2025-03-01
Container: Indonesian Journal of Electrical Engineering and Computer Science
Publisher: Institute of Advanced Engineering and Science
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.11591/ijeecs.v37.i3.pp1616-1625,
  title = {Leveraging 3D convolutional networks for effective video feature extraction in video summarization},
  author = {Bhakti Deepak Kadam and Ashwini Mangesh Deshpande},
  year = {2025},
  journal = {Indonesian Journal of Electrical Engineering and Computer Science},
  doi = {10.11591/ijeecs.v37.i3.pp1616-1625},
  url = {https://doi.org/10.11591/ijeecs.v37.i3.pp1616-1625}
}

RIS

TY  - JOUR
TI  - Leveraging 3D convolutional networks for effective video feature extraction in video summarization
AU  - Bhakti Deepak Kadam
AU  - Ashwini Mangesh Deshpande
PY  - 2025
JO  - Indonesian Journal of Electrical Engineering and Computer Science
DO  - 10.11591/ijeecs.v37.i3.pp1616-1625
UR  - https://doi.org/10.11591/ijeecs.v37.i3.pp1616-1625
ER  -

APA

Kadam, B. D., & Deshpande, A. M. (2025). Leveraging 3D convolutional networks for effective video feature extraction in video summarization. Indonesian Journal of Electrical Engineering and Computer Science. https://doi.org/10.11591/ijeecs.v37.i3.pp1616-1625

Source records

crossref · retrieved 2026-09-25T17:22:38.736Z