A novel approach using deep convolutional neural network to classify the photographs based on leading-line by fine-tuning the pre-trained VGG16 neural 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/s11042-022-13338-5.pdf
Reference35 articles.
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3. Chong N, Wong L-K, See J (2019) Ganmera: reproducing aesthetically pleasing photographs using deep adversarial networks. In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops
4. Datta R, Wang JZ (2010) Acquine: aesthetic quality inference engine - real-time automatic rating of photo aesthetics. In: Proceedings of the 11th ACM SIGMM international conference on multimedia information retrieval, MIR. ACM, vol 4, pp 421–424
5. Datta R, Joshi D, Li J, Wang JZ (2006) Studying aesthetics in photographic images using a computational approach. In: Computer vision – ECCV. Springer, pp 288–301
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