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Full-Text Articles in Physical Sciences and Mathematics
Mining Urban Perceptions From Social Media Data, Yu Liu, Yihong Yuan, Fan Zhang
Mining Urban Perceptions From Social Media Data, Yu Liu, Yihong Yuan, Fan Zhang
Journal of Spatial Information Science
This vision paper summaries the methods of using social media data (SMD) to measure urban perceptions. We highlight two major types of data sources (i.e., texts and imagery) and two corresponding techniques (i.e., natural language processing and computer vision). Recognizing the data quality issues of SMD, we propose three criteria for improving the reliability of SMD-based studies. In addition, integrating multi-source data is a promising approach to mitigating the data quality problems.
A Combined Gis And Stereo Vision Approach To Identify Building Pixels In Images And Determine Appropriate Color Terms, Philip James Bartie, Femke Reitsma, Steven Mills
A Combined Gis And Stereo Vision Approach To Identify Building Pixels In Images And Determine Appropriate Color Terms, Philip James Bartie, Femke Reitsma, Steven Mills
Journal of Spatial Information Science
Color information is a useful attribute to include in a building's description to assist the listener in identifying the intended target. Often this information is only available as image data and not readily accessible for use in constructing referring expressions for verbal communication. The method presented uses a GIS building polygon layer in conjunction with street-level captured imagery to provide a method to automatically filter foreground objects and select pixels which correspond to building facades. These selected pixels are then used to define the most appropriate color term for the building and corresponding fuzzy color term histogram. The technique uses …