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Process / pipelineComputational aesthetics and computer vision

图像美学评估

图像美学评估是一个计算流程,用于预测和量化照片和数字图像的美学质量。该方法借鉴了计算机视觉和人类感知研究的成果,提取低级视觉特征,并应用机器学习或基于规则的评分来估计观看者将如何感知图像的质量和美感。

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来源

  1. Datta, R., Joshi, D., Li, J., & Wang, J. Z. (2006). Studying Aesthetics in Photographic Images Using a Computational Approach. Computer Vision—ECCV 2006, 3953, 288–301. DOI: 10.1007/11744078_23
  2. Murray, N., Marchesotti, L., & Perronnin, F. (2012). AVA: A Large-scale Database for Aesthetic Visual Analysis. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR.2012.6247954
  3. Kong, S., Shen, X., Lin, Z., Mech, R., & Fowlkes, C. (2016). Photo-Sketching: Inferring Contours and Tones from Images. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). link

如何引用本页

ScholarGate. (2026, June 3). Image Aesthetics Assessment. ScholarGate. https://scholargate.app/zh/visual-arts/image-aesthetics-assessment

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ScholarGateImage Aesthetics Assessment (Image Aesthetics Assessment). 于 2026-06-17 检索自 https://scholargate.app/zh/visual-arts/image-aesthetics-assessment · 数据集: https://doi.org/10.5281/zenodo.20539026