<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</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.

Automatic Real-Estate Image Analysis for Retrieval and Classification

Image Processing and Analysis Laboratory (LAPI)

University Politehnica of București (UPB)

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

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Automatic Real-Estate Image Analysis for Retrieval and Classification"}

Nowadays, the real estate sector is also benefiting from the advance of the technology. Digital images accompany announcements advertising for renting or...

Automatic Real-Estate Image Analysis for Retrieval and Classification

Published Online: May 08, 2023

Page range: 35 - 45

Received: Feb 09, 2022

Accepted: Dec 10, 2022

DOI: https://doi.org/10.2478/bipie-2022-0009

Keywords
image description, image retrieval, embeddings, classification

© 2022 Corneliu Florea et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Automatic Real-Estate Image Analysis for Retrieval and Classification

Published Online: May 08, 2023

Page range: 35 - 45

Received: Feb 09, 2022

Accepted: Dec 10, 2022

DOI: https://doi.org/10.2478/bipie-2022-0009

Keywordsimage description, image retrieval, embeddings, classification

© 2022 Corneliu Florea et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Keywords
image description, image retrieval, embeddings, classification