Shot boundary detection using multimodal Siamese network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-15428-4.pdf
Reference40 articles.
1. Abdulhussain SH, Ramli AR, Mahmmod BM, Saripan MI, Al-Haddad S, Jassim WA (2019) Shot boundary detection based on orthogonal polynomial. Multimed Tools Appl 78(14):20361–20382
2. Abdulhussain SH, Ramli AR, Saripan MI, Mahmmod BM, Al-Haddad SAR, Jassim WA, et al. (2018) Methods and challenges in shot boundary detection: a review. Entropy 20(4):214
3. Amirian S, Rasheed K, Taha TR, Arabnia HR (2020) Automatic image and video caption generation with deep learning: a concise review and algorithmic overlap. IEEE Access 8:218386–218400
4. Bakkouri I, Afdel K (2020) Computer-aided diagnosis (cad) system based on multi-layer feature fusion network for skin lesion recognition in dermoscopy images. Multimed Tools Appl 79(29):20483–20518
5. Bansal M, Kumar M, Kumar M, Kumar K (2021) An efficient technique for object recognition using shi-tomasi corner detection algorithm. Soft Comput 25(6):4423–4432
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