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An Intelligent Web Image Retrieval System

机译:智能的Web图像检索系统

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摘要

Recently, the web sites such as e-business sites and shopping mall sites deal with lots of image information. To find a specific image from these image sources, we usually use web search engines or image database engines which rely on keyword only retrievals or color based retrievals with limited search capabilities. This paper presents an intelligent web image retrieval system. We propose the system architecture, the texture and color based image classification and indexing techniques, and representation schemes of user usage patterns. The query can be given by providing keywords, by selecting one or more sample texture patterns, by assigning color values within positional color blocks, or by combining some or all of these factors. The system keeps track of user's preferences by generating user query logs and automatically add more search information to subsequent user queries. To show the usefulness of the proposed system, some experimental results showing recall and precision are also explained.
机译:最近,诸如电子商务站点和购物中心站点之类的网站处理大量图像信息。为了从这些图像源中查找特定的图像,我们通常使用Web搜索引擎或图像数据库引擎,它们仅依赖关键字检索或基于颜色的检索而具有有限的搜索功能。本文提出了一种智能的网络图像检索系统。我们提出了系统架构,基于纹理和颜色的图像分类和索引技术以及用户使用模式的表示方案。可以通过提供关键字,选择一个或多个样本纹理图案,通过在位置颜色块内分配颜色值或通过组合这些因素中的一些或全部来提供查询。该系统通过生成用户查询日志来跟踪用户的偏好,并自动将更多搜索信息添加到后续用户查询中。为了显示所提出系统的实用性,还说明了一些显示召回率和精度的实验结果。

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