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 key challenges in historic district planning and design: capturing the emotional value of streetscape images and integrating this into the design process. We developed a deep learning-based sentiment analysis system, employing CNN and transformer models to analyze emotional ten...

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Bibliographic Details
Main Authors: Youping Teng, Weijia Wang
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2025-02-01
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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