street-level imagery

Discovering Place-Informative Scenes and Objects Using Social Media Photos

Understanding the visual discrepancy and heterogeneity of different places is of great interest to architectural design, urban design and tourism planning. However, previous studies have been limited by the lack of adequate data and efficient methods …

Urban Function Recognition by Integrating Social Media and Street-Level Imagery

Recognizing urban functions is crucial for understanding urban spatial structures and urban planning. Previous work has investigated urban functions based on human activities that were derived from mobile phone positioning data, check-in data, taxi …

Social Sensing from Street-Level Imagery: A Case Study in Learning Spatio-Temporal Urban Mobility Patterns

Street-level imagery has covered the comprehensive landscape of urban areas. Compared to satellite imagery, this new source of image data has the advantage in fine-grained observations of not only physical environment but also social sensing. Prior …

Measuring Human Perceptions of a Large-Scale Urban Region Using Machine Learning

Measuring the human sense of place and quantifying the connections among the visual features of the built environment that impact the human sense of place have long been of interest to a wide variety of fields. Previous studies have relied on …