商店目录中基于内容的图像检索

S. Baysal, Mehmet Can Kurt, Gonca Aydogdu, Pelin Damcı, Iay Telmen, Pinar Duygulu
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引用次数: 0

摘要

本文概述了一个应用程序,该应用程序旨在对在线购物目录的访问方法进行重大改进。目前的网上购物网站只提供给用户浏览和基于语义的检索。在这项工作中,基于内容的检索方法构建了一个系统,以允许用户在在线目录中找到他们正在搜索的服装项目。当用肉眼观察时,结果令人印象深刻。这项工作利用现有的计算机视觉技术,并将其应用于服装和购物领域,为用户提供有用的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content-based image retrieval in store catalogs
In this paper, an overview of an application, which aims to make significant improvements on access methods to the online shopping catalogs, is presented. In current online shopping sites, only browsing and semantic based retrieval are provided to the users. In this work, a system is constructed on content based retrieval methods in order to allow users to find a clothing item that they are searching within the online catalogs. The results have came out to be impressive when they are examined by the human eye. This work makes use of existing computer vision techniques and applies them to the area of clothing and shopping to provide users with a useful application.
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