用于检索和分类的自动房地产图像分析

C. Florea, Andrei Racoviteanu, L. Florea, B. Florea
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引用次数: 0

摘要

如今,房地产行业也受益于技术的进步。数字图像伴随着出租或出售房产的广告公告。计算机视觉和图像分析有助于理解这些图像,以获得更好的消费者体验。在本文中,我们展示了如何有效地使用检索和描述来隔离cvasi重复图像,并识别出与吸引观众兴趣的图像相似的示例。在大型数据库中,识别了与房地产成像相关的三个问题,并提出了解决方案并进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Real-Estate Image Analysis for Retrieval and Classification
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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