Making a long video short: A Systematic Review

Author:

Sharma Shikha1ORCID,Goyal Dinesh2ORCID

Affiliation:

1. CSE, Poornima University , Jaipur, India

2. CSE, Poornima University, Jaipur, India

Publisher

ACM

Reference95 articles.

1. Ting Yao , Tao Mei, S. Shetty and Yong Rui (2016), "Highlight Detection with Pairwise Deep Ranking for First-Person Video Summarization ", in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 982-990 . Ting Yao, Tao Mei, S. Shetty and Yong Rui (2016), "Highlight Detection with Pairwise Deep Ranking for First-Person Video Summarization", in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 982-990.

2. Mahmood , A. , Kiah , M. L. M. , Azzuhri , S. R. , Kamal , M. M. , Eldabi , T. , Qureshi , A. N., . .. & Z'aba , M. R. ( 2021 ). Wireless backhaul network's capacity optimization using time series forecasting approach. Journal of Ambient Intelligence and Humanized Computing, 12(1), 1407-1418 . Mahmood, A., Kiah, M. L. M., Azzuhri, S. R., Kamal, M. M., Eldabi, T., Qureshi, A. N., ... & Z'aba, M. R. (2021). Wireless backhaul network's capacity optimization using time series forecasting approach. Journal of Ambient Intelligence and Humanized Computing, 12(1), 1407-1418.

3. Video abstraction

4. Behrooz Mahasseni , Michael Lam and Sinisa Todorovic ( 2017 ), " Unsupervised Video Summarization with Adversarial LSTM Networks ", in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2982-2991 . Behrooz Mahasseni, Michael Lam and Sinisa Todorovic (2017), "Unsupervised Video Summarization with Adversarial LSTM Networks", in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, 2982-2991.

5. Mrigank Rochan , Linwei Ye, and Yang Wang ( 2018 ), " Video Summarization Using Fully Convolutional Sequence Networks ", in Proceedings of European Conference on Computer Vision, 347-363 . Mrigank Rochan, Linwei Ye, and Yang Wang (2018), "Video Summarization Using Fully Convolutional Sequence Networks", in Proceedings of European Conference on Computer Vision, 347-363.

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