GARNN-AE-LSTM: A Multimodal Deep Learning Approach for High-Accuracy Video Summarization.

Jin J, Sharudin SA

DOI: 10.3791/69097
Published: 2025 Oct 10
Container: Journal of visualized experiments : JoVE
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3791/69097,
  title = {GARNN-AE-LSTM: A Multimodal Deep Learning Approach for High-Accuracy Video Summarization.},
  author = {Jin J and Sharudin SA},
  year = {2025},
  journal = {Journal of visualized experiments : JoVE},
  doi = {10.3791/69097},
  url = {https://doi.org/10.3791/69097}
}

RIS

TY  - JOUR
TI  - GARNN-AE-LSTM: A Multimodal Deep Learning Approach for High-Accuracy Video Summarization.
AU  - Jin J
AU  - Sharudin SA
PY  - 2025
JO  - Journal of visualized experiments : JoVE
DO  - 10.3791/69097
UR  - https://doi.org/10.3791/69097
ER  -

APA

J, J., & SA, S. (2025). GARNN-AE-LSTM: A Multimodal Deep Learning Approach for High-Accuracy Video Summarization.. Journal of visualized experiments : JoVE. https://doi.org/10.3791/69097

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pubmed · retrieved 2026-09-25T05:10:22.167Z