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Updated: Aug 15, 2025

Combining Eye-tracking Data with an Analysis of Video Content from Free-viewing a Video of a Walk in an Urban Park Environment
Published on: May 7, 2019
An AI-based framework for studying visual diversity of urban neighborhoods and its relationship with
Md Amiruzzaman1, Ye Zhao2, Stefanie Amiruzzaman3
1Department of Computer Science, West Chester University, West Chester, PA USA.
Abstract:
This study presents a framework to study quantitatively geographical visual diversities of urban neighborhood from a large collection of street-view images using an Artificial Intelligence (AI)-based image segmentation technique. A variety of diversity indices are computed from the extracted visual semantics. They are utilized to discover the relationships between urban visual appearance and socio-demographic variables. This study also validates the reliability of the method with human evaluators. The methodology and results obtained from this study can potentially be used to study urban features, locate houses, establish services, and better operate municipalities.
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