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With the development of intelligent design and computer-aided design technology, advertising image generation has gradually received attention and over 70% of digital advertisers regard automated creative generation as a key direction for improving efficiency and precision delivery. To address the shortcomings of existing advertising design methods in feature extraction and optimization efficiency, a novel advertising design image generation method combining hierarchical feature extraction and simulated annealing algorithm optimization is proposed. Research is based on a hierarchical feature model to extract multi-scale semantic information from advertising images, and optimize layout through simulated annealing algorithm to improve the visual consistency of design images. The experiment outcomes show that the raised model has the highest mean fitness, especially in the first set of hyperparameter settings, with mean fitness values of 3.00 and 2.95 on the training and testing sets, respectively. Meanwhile, the standard deviation and coefficient of variation are significantly lower than for other algorithms, with minimal fluctuations and the strongest robustness. In addition, among the three types of advertising images for product promotion, brand promotion, and directive sign advertisement, the generated advertising images have significant advantages in visual clarity, perceptual quality, and other aspects. As shown in the directive sign advertisement, the mean square error, peak signal-to-noise ratio, structural similarity, and learning perceptual image patch similarity of this model are 0.025, 66.97, 0.67, and 0.10, respectively, which are significantly better than the other two comparison methods. The research results indicate that the raised model is suitable for scenarios that require high-precision image generation, providing an effective solution for intelligent advertising generation.
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J. Du. Application of CAD aided intelligent technology in landscape design. International Journal of Advanced Computer Science and Applications 13(12):1030-1037, 2022. https://doi.org/10.14569/IJACSA.2022.01312118. (Crossref)
R. K. Eluri and N. Devarakonda. Feature selection with a binary flamingo search algorithm and a genetic algorithm. Multimedia Tools and Applications 82(17):26679-26730, 2023. https://doi.org/10.1007/s11042-023-15467-x. (Crossref)
B. Gu, X. Wang, W. Liu, and Y. Wang. MDA-GAN: Multi-dimensional attention guided concurrent-single-image-GAN. Circuits, Systems, and Signal Processing 44(2):1075-1102, 2025. https://doi.org/10.1007/s00034-024-02867-z. (Crossref)
R. Harada, K. O. Kim, and M. Takatera. Estimation of garment impression using regression models with design parameters and image features. International Journal of Affective Engineering 23(3):211-222, 2024. https://doi.org/10.5057/ijae.IJAE-D-23-00011. (Crossref)
E. H. Houssein, M. E. Hosney, W. M. Mohamed, A. A. Ali, and E. M. G. Younis. Fuzzy-based hunger games search algorithm for global optimization and feature selection using medical data. Neural Computing and Applications 35(7):5251-5275, 2023. https://doi.org/10.1007/s00521-022-07916-9. (Crossref)
P. Iyappan and P. Jamuna. Hybrid simulated annealing and Spotted Hyena Optimization Algorithm-based resource management and scheduling in cloud environment. Wireless Personal Communications 133(2):1123-1147, 2023. https://doi.org/10.1007/s11277-023-10807-4. (Crossref)
Y. Jiang. A novel DABU-Net model based on principle component analysis for intelligent collaborative robot design. Journal of Applied Science and Engineering 27(11):3533-3541, 2024. https://doi.org/10.6180/jase.202411_27(11).0010.
Y. Lin, H. Liu, H. Zhao, Q. Hu, X. Zhu, et al. Hierarchical feature selection based on label distribution learning. IEEE Transactions on Knowledge and Data Engineering 35(6):5964-5976, 2022. https://doi.org/10.1109/TKDE.2022.3177246. (Crossref)
W. Liu, L. Yang, and B. Yu. Kernel density estimation based distributionally robust mean-CVaR portfolio optimization. Journal of Global Optimization 84(4):1053-1077, 2022. https://doi.org/10.1007/s10898-022-01177-5. (Crossref)
Y. Liu and M. Wu. Intelligent design of ethnic patterns in clothing using improved DCGAN for real-time style transfer. International Journal of Advanced Computer Science and Applications 14(11):1034-1044, 2023. https://doi.org/10.14569/ijacsa.2023.01411105. (Crossref)
M. Lu and Y. Xie. Intelligent detection system for electrical equipment based on deep learning and infrared image processing technology. International Journal of Advanced Computer Science and Applications 14(8):1147-1155, 2023. https://doi.org/10.14569/IJACSA.2023.01408124. (Crossref)
S. Lu, F. Guan, H. Zhang, and H. Lai. Speed-up DDPM for real-time underwater image enhancement. IEEE Transactions on Circuits and Systems for Video Technology 34(5):3576-3588, 2023. https://doi.org/10.1109/TCSVT.2023.3314767. (Crossref)
D. Manafi and M. J. Nategh. Optimization of setup planning by combined permutation-based and simulated annealing algorithms. Arabian Journal for Science and Engineering 48(3):3697-3708, 2023. https://doi.org/10.1007/s13369-022-07209-2. (Crossref)
M. Mashayekhi and H. Ghasemi. An enhanced simulated annealing algorithm for topology optimization of steel double-layer grid structures. Advances in Computational Design 9(2):115-136, 2024. https://doi.org/10.12989/acd.2024.9.2.115. (Crossref)
J. Purohit and R. Dave. Leveraging deep learning techniques to obtain efficacious segmentation results. Archives of Advanced Engineering Science 1(1):11-26, 2023. https://doi.org/10.47852/bonviewAAES32021220. (Crossref)
M. Salehi, A. Bekker, and M. Arashi. A semi-parametric density estimation with application in clustering. Journal of Classification 40(1):52-78, 2023. https://doi.org/10.1007/s00357-022-09425-9. (Crossref)
T. Song, R. Wen, and L. Zhang. RoughSet-DDPM: An image super-resolution method based on rough set denoising diffusion probability model. Tehnički vjesnik 31(1):162-170, 2024. https://doi.org/10.17559/TV-20230717000808. (Crossref)
Y. Tian and Y. She. Uncertainty measure-based incremental feature selection for hierarchical classification. International Journal of Fuzzy Systems 26(6):2074-2096, 2024. https://doi.org/10.1007/s40815-024-01708-0. (Crossref)
T. Wang. Exploring intelligent image recognition technology of football robot using omnidirectional vision of internet of things. The Journal of Supercomputing 78(8):10501-10520, 2022. https://doi.org/10.1007/s11227-022-04314-9. (Crossref)
C. Xiao, S. Hong, and W. Huang. Optimizing graph layout by t-SNE perplexity estimation. International Journal of Data Science and Analytics 15(2):159-171, 2023. https://doi.org/10.1007/s41060-022-00348-7. (Crossref)
R. Yamasaki and T. Tanaka. Convergence analysis of mean shift. IEEE Transactions on Pattern Analysis and Machine Intelligence 46(10):6688-6698, 2024. https://doi.org/10.1109/TPAMI.2024.3385920. (Crossref)
L. Zhang, M. Li, Y. Wang, B. Xing, X. Liu, et al. Emocolor: An assistant design method for emotional color matching based on semantics and images. Color Research and Application 48(3):312-327, 2023. https://doi.org/10.1002/col.22851. (Crossref)
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, et al. Scene parsing through ADE20K dataset. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5122-5130, 2017. https://doi.org/10.1109/CVPR.2017.544. (Crossref)
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso, et al. ADE20K, 2025. https://ade20k.csail.mit.edu/. [Access: Dec 2024].
B. Zhou, H. Zhao, X. Puig, T. Xiao, S. Fidler, et al. Semantic understanding of scenes through the ADE20K dataset. International Journal of Computer Vision 127(3):302-321, 2019. https://doi.org/10.1007/s11263-018-1140-0. (Crossref)
spicetree687. Vintage poster print advertisement cigarettes. In: Free downloads - Photos, ID: 88671. https://www.1001freedownloads.com/free-photo/vintage-poster-print-advertisement-cigarettes.
Ghwtog. Advertising sign-plate advertise advertising sign. In: Free downloads - Photos, ID: 83116. https://www.1001freedownloads.com/free-photo/advertising-sign-plate-advertise-advertising-sign.
T. Mikołajczyk. Sign tablet an array of information smoking burn. In: Free downloads - Photos, ID: 82615. https://www.1001freedownloads.com/free-photo/sign-tablet-an-array-of-information-smoking-burn.