@inproceedings{c6eeb99bca86408285222db0af723fbb,
title = "Modeling for Computing Aesthetic Similarity of Chinese Classical Landscape Painting Based on Ulam's Distance",
abstract = "Using the optimized Ulam's Distance method, this study constructs a model addressing aesthetic similarity issues in 2D images and establishes a computational strategy across three perspectives. Through aesthetic observations of static images, the research develops a targeted computational aesthetics method to resolve image similarity problems with varying emphases.",
keywords = "aesthetic similarity, Chinese classical landscape painting, computational aesthetics, information content, model, Ulam's Distance",
author = "Peng Zhang and Zhaoli Wang and Yu Yan and Binxia Xue",
note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 4th International Conference on Image Processing, Computer Vision and Machine Learning, ICICML 2025 ; Conference date: 21-11-2025 Through 23-11-2025",
year = "2025",
doi = "10.1109/ICICML67980.2025.11333672",
language = "英语",
series = "2025 4th International Conference on Image Processing, Computer Vision and Machine Learning, ICICML 2025",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "203--207",
booktitle = "2025 4th International Conference on Image Processing, Computer Vision and Machine Learning, ICICML 2025",
address = "美国",
}