YouTube thumbnail design recommendation systems using image-tabular multimodal data for Thai’s YouTube thumbnail

Author:

Pornpanvattana Anyamanee,Lertakkakorn Metpiya,Pookpanich Peerat,Vitheethum Khodchapan,Siriborvornratanakul Thitirat

Publisher

Springer Science and Business Media LLC

Reference26 articles.

1. Abu-El-Haija S, Kothari N, Lee J, Natsev P, Toderici G, Varadarajan B, and Vijayanarasimhan (2016) YouTube-8M: A Large-Scale Video Classification Benchmark, CoRR, arXiv:1609.08675

2. Baek Y, Lee B, Han D, Yun S, and Lee H (2019) Character Region awareness for text detection. In: 2019 IEEE/CVF conference on computer vision and pattern recognition (CVPR), 9357–9366. https://doi.org/10.1109/CVPR.2019.00959

3. Bo L (2021) A Benchmark Dataset for Micro-video Thumbnail, CoRR, vol. 14. arXiv:2112.14958

4. Carta S, Gaeta E, Giuliani A, Piano L, and Recupero DR (2020) Efficient Thumbnail Identification through Object Recognition. In: Proceedings of the 16th International Conference on Web Information Systems and Technologies (WEBIST 2020), 209–216 2020. https://doi.org/10.5220/0010108802090216

5. Chen Y, Wang Y, and Tan R (2021) Classifying YouTube Videos by Thumbnail (Fall 2021), Stanford University, CA.” URL =< http://cs230.stanford.edu/projects_fall_2021/reports/103085886.pdf>

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