Visual Description of the Indoor Space of Real Estate in Crowd-Sourcing Environments
| Autor: | Behnam Tashayo, Mohammad Reza Malek, Sara Haghbayan |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Computer science
real estate l85 0211 other engineering and technologies HD1361-1395.5 Real estate 02 engineering and technology Space (commercial competition) r00 Data science r21 sketch plan Crowd sourcing visual describing 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing crowdsourcing Real estate business 021101 geological & geomatics engineering indoor space |
| Zdroj: | Real Estate Management and Valuation, Vol 28, Iss 3, Pp 91-103 (2020) |
| ISSN: | 2300-5289 |
| Popis: | Emerging the power of collective intelligence through crowdsourcing could create a clear path for visualizing real estate as well. One of the Crowdsourcing applications is describing the indoor space of a real estate. This paper aims to describe real estate in the context of spatial crowdsourcing. Qualitative and quantitative criteria were used in this study to describe the real estate space, topological relationships, directional relations, color, location, dimensions, and height as qualitative criteria. Quantitative criteria were selected as the dimensions and height. The proposed model was evaluated by two groups: those who had never seen the real estate and others that had already seen the same real estate. We implemented a website called SAMA1to evaluate the proposed model with crowdsourcing data using online collaborative tools. SAMA is using tools, such as a sketch plan, photo, text, virtual tour, and visual descriptions. To evaluate SAMA, we compared it with four representative commercial websites, and the impact of the tools was precisely examined. The obtained results demonstrate that the proposed model can be utilized to visually describe the indoor space of real estate in crowd-sourcing environments. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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