REAL ESTATE IMAGE ANALYSIS: A LITERATURE REVIEW

Image analysis and computer vision are powerful techniques that are successfully used in different domains, but have hardly found their way into the real estate sector. However, real estate offers great potential, as there is a large amount of image content related to buildings and their surrounding...

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Bibliographic Details
Published in:Journal of real estate literature 2019-05, Vol.27 (2), p.271-300
Main Authors: Koch, David, Despotovic, Miroslav, Leiber, Sascha, Sakeena, Muntaha, Döller, Mario, Zeppelzauer, Matthias
Format: Article
Language:English
Subjects:
Analysis
Automation
Cameras
Classification
Contextual information
Deep learning
Digital imaging
Facial recognition technology
Image processing systems
Literature reviews
Neighborhoods
Real estate
Trends
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Summary:Image analysis and computer vision are powerful techniques that are successfully used in different domains, but have hardly found their way into the real estate sector. However, real estate offers great potential, as there is a large amount of image content related to buildings and their surrounding implicitly providing rich building-related and contextual information. In the field of computer vision, there has recently been an increasing attention to real estate images. In this paper, we review current trends in real estate image analysis (REIA) and investigate the potential of image analysis for the real estate sector. We lay the groundwork for more comprehensive analyses of real estate image data, which should help to inspire novel approaches, methods, and services in the field.
ISSN:0927-7544
1573-8809