Name
Abstract | ||
|---|---|---|
The condition of a building is an important factor for real estate valuation. Currently, the estimation of condition is determined by real estate appraisers which makes it subjective to a certain degree. We propose a novel vision-based approach for the assessment of the building condition from exterior views of the building. To this end, we develop a multi-scale patch-based pattern extraction approach and combine it with convolutional neural networks to estimate building condition from visual clues. Our evaluation shows that visually estimated building condition can serve as a proxy for condition estimates by appraisers.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3210499.3210526 | ICMR '18: International Conference on Multimedia Retrieval
Yokohama
Japan
June, 2018 |
Keywords | DocType | Volume |
Content-based image retrieval, visual pattern extraction, image classification, visual building analysis, building condition estimation, single-family-housing, deep learning, regression models | Conference | abs/1804.10113 |
ISBN | Citations | PageRank |
978-1-4503-5797-5 | 0 | 0.34 |
References | Authors | |
12 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Koch | 1 | 5 | 1.85 |
| Miroslav Despotovic | 2 | 5 | 1.18 |
| Muntaha Sakeena | 3 | 5 | 1.18 |
| Mario Döller | 4 | 130 | 18.38 |
| Matthias Zeppelzauer | 5 | 186 | 21.35 |