Image Experience Prediction for Historic Districts Using a CNN-Transformer Fusion Model

Image Experience Prediction for Historic Districts Using a CNN-Transformer Fusion Model

This study addresses fundamental challenges in historic district planning and design, specifically incorporating the emotional value of streetscape images into the design process. A deep learning-based sentiment analysis system was developed, utilising a convolution neural network (CNN) and transfo...

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Bibliographic Details
Main Authors: Weijia Wang, Youping Teng, Lu Yan, Longwei Wu, Yinying Yang, Zijian Luo
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2025-03-01
Series:Image Analysis and Stereology
Subjects:
historic districts
sentiment analysis and evaluation system
convolutional neural network (CNN)
transformer model
Online Access:https://www.ias-iss.org/ojs/IAS/article/view/3361
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https://www.ias-iss.org/ojs/IAS/article/view/3361

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