Paper Info
Title
Real Estate Image Classification
Abstract
Posting pictures is a necessary part of advertising a home for sale. Agents typically sort through dozens of images from which to pick the most complimentary ones. This is a manual effort involving annotating images accompanied by descriptions (bedroom, bathroom, attic, etc.). When volumes are small, manual annotation is not a problem, but there is a point where this becomes too burdensome and ultimately infeasible. Here, we propose an approach based on computer vision methodology to radically increase the efficiency of such tasks. We present a high-confidence image classification framework, whose inputs are images and outputs are labels. The core of the classification algorithm is long short term memory (LSTM), and fully connected neural networks, along with a substantial preprocessing using 'contrast-limited adaptive histogram equalization (CLAHE) for image enhancement. Since, there is no standard benchmark containing a comprehensive dataset of well-annotated real estate images, we introduce Real Estate Image (REI) database for evaluating the image classification algorithms. Therein we demonstrate empirics based on our proposed framework on the new REI dataset, as well as on the SUN dataset.
Year
DOI
Venue
2017
10.1109/WACV.2017.48
2017 IEEE Winter Conference on Applications of Computer Vision (WACV)
Keywords
Field
DocType
real estate image classification,advertising,image sorting,image annotation,computer vision methodology,high-confidence image classification framework,long-short term memory,LSTM,contrast-limited adaptive histogram equalization,CLAHE,image enhancement,real estate image database,REI database,SUN dataset,fully con- nected neural networks
Histogram,Data mining,Real estate,Computer science,Artificial intelligence,Contextual image classification,Computer vision,Automatic image annotation,Pattern recognition,sort,Adaptive histogram equalization,Feature extraction,Preprocessor
Conference
ISSN
ISBN
Citations 
2472-6737
978-1-5090-4823-6
0
PageRank 
References 
Authors
0.34
11
4
Name
Order
Citations
PageRank
Jawadul H. Bappy1755.64
Joseph R. Barr221.75
Narayanan Srinivasan300.34
Amit K. Roy Chowdhury4115373.96