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Authors: Mathijs Lens ; Floris De Feyter and Toon Goedemé

Affiliation: EAVISE-PSI, KU Leuven, Campus De Nayer, Sint-Katelijne-Waver, Belgium

Keyword(s): Video Segmentation, Transformer, TCN.

Abstract: This paper presents an automated system designed to streamline the creation of interactive real estate video tours. These virtual walkthrough tours allow potential buyers to explore properties by skipping or focusing on rooms of interest, enhancing the decision-making process. However, the current manual method for producing these tours is costly and time-consuming. We propose a system that automates key aspects of the walkthrough video creation process, including the identification of room transitions and room label extraction. Our proposed system utilizes transformer-based video segmentation, addressing challenges such as the lack of clear visual boundaries between open-plan rooms and the difficulty of classifying rooms in unfurnished properties. We demonstrate in an ablation study that the combined usage of ResNet frame embeddings, and a transformer-based temporal postprocessing that uses a separately trained doorway detection network as extra input yields the best results for roo m segmentation and classification. This method improves the edit score by +35% compared to frame-by-frame classification. All experiments are performed on a large real-life dataset of 839 walkthrough videos. (More)

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Paper citation in several formats:
Lens, M., De Feyter, F. and Goedemé, T. (2025). Making Real Estate Walkthrough Videos Interactive. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP; ISBN 978-989-758-728-3; ISSN 2184-4321, SciTePress, pages 319-326. DOI: 10.5220/0013126200003912

@conference{visapp25,
author={Mathijs Lens and Floris {De Feyter} and Toon Goedemé},
title={Making Real Estate Walkthrough Videos Interactive},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP},
year={2025},
pages={319-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013126200003912},
isbn={978-989-758-728-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: VISAPP
TI - Making Real Estate Walkthrough Videos Interactive
SN - 978-989-758-728-3
IS - 2184-4321
AU - Lens, M.
AU - De Feyter, F.
AU - Goedemé, T.
PY - 2025
SP - 319
EP - 326
DO - 10.5220/0013126200003912
PB - SciTePress

- Science and Technology Publications, Lda.
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