Automatic Real-Estate Image Analysis for Retrieval and Classification

Corneliu Florea; Andrei Racoviţeanu; Laura Florea; Bogdan Florea

doi:10.2478/bipie-2022-0009

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Automatic Real-Estate Image Analysis for Retrieval and Classification

Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section

Volume 68 (2022): Issue 2 (June 2022)

By: Corneliu Florea, Andrei Racoviţeanu, Laura Florea and Bogdan Florea

Open Access

|May 2023

Abstract

Nowadays, the real estate sector is also benefiting from the advance of the technology. Digital images accompany announcements advertising for renting or selling a property. Computer vision and image analysis contribute to the understanding of these images towards better consumer experience. In this paper we show how retrieval and description can be used efficiently to isolate cvasi-duplicate images and identify similar examples to the ones that have drawn viewer’s interest. Three problems related to real-estate imaging are identified and solutions are proposed and evaluated on large databases.

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Articles in this issue

DOI: https://doi.org/10.2478/bipie-2022-0009 | Journal eISSN: 2537-2726 | Journal ISSN: 1223-8139

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Language: English

Page range: 35 - 45

Submitted on: Feb 9, 2022

Accepted on: Dec 10, 2022

Published on: May 8, 2023

Published by: Gheorghe Asachi Technical University of Iasi

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

Related subjects:

Electrical engineering,

Fundamentals of electrical engineering,

Automation,

Electronics,

Energy engineering

© 2023 Corneliu Florea, Andrei Racoviţeanu, Laura Florea, Bogdan Florea, published by Gheorghe Asachi Technical University of Iasi
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 68 (2022): Issue 2 (June 2022)