NDLI: High-level feature aggregation for fine-grained architectural floor plan retrieval

Content Provider	IET Digital Library
Author	Sharma, Divya Chattopadhyay, Chiranjoy
Abstract	Due to the massive growth of real estate industry, there is an increase in the number of online platforms designed for finding homes/furnished properties. Instead of descriptive words, query by example is always a preferred method for retrieval. Floor plans are the basic 2D representation giving an idea about the building structure at a particular level. The authors propose a framework for the retrieval of similar architectural floor plans under the query by example paradigm. They propose a novel algorithm to extract high-level semantic features from an architectural floor plan. Fine-grained retrieval using weighted sum of the features is proposed, where a feature can be given more preference over others, during retrieval. Experiments were performed on publicly available dataset containing 510 floor plans and compared with existing state-of-the-art techniques. Their proposed method outperforms others both in qualitative and quantitative terms.
Starting Page	702
Ending Page	709
Page Count	8
ISSN	17519632
Volume Number	12
e-ISSN	17519640
Issue Number	Issue 5, Aug (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cvi/12/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2017.0581
Journal	IET Computer Vision
Publisher Date	2018-03-14
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	2D Representation Architectural Floor Plans Architecture Building Structures Civil And Mechanical Engineering Computing Computer Vision And Image Processing Technique Construction Industry Estate Industry Feature Extraction Fine-grained Architectural Floor Plan Retrieval Fine-grained Retrieval Floors High-level Feature Aggregation High-level Semantic Feature Homes/furnished Property Image Recognition Image Representation Image Retrieval Industrial Application of IT Information Retrieval Technique Online Platform Query by Example Weighted Sum
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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