Generation of Metadata Using Content-Based Image Retrieval System

Sun-A Lee, Min-Uk Kim, Kyoungro Yoon
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引用次数: 1

Abstract

For efficient data management, we propose a system which generates metadata for image contents. This system is using Content-Based Image Retrieval System (CBIR) based on Mpeg-7 descriptors. First, low-level features are extracted from the query image without metadata and the images with similar low-level features are retrieved from the CBIR system. Metadata of the result images which are similar to the query image are extracted from the metadata database. From the resulting metadata, common keywords are extracted and proposed as the keywords for the query image.
基于内容的图像检索系统的元数据生成
为了有效地管理数据,我们提出了一个生成图像内容元数据的系统。该系统采用基于Mpeg-7描述符的基于内容的图像检索系统(CBIR)。首先,从没有元数据的查询图像中提取低级特征,并从CBIR系统中检索具有相似低级特征的图像。从元数据数据库中提取与查询图像相似的结果图像元数据。从生成的元数据中提取通用关键字,并将其作为查询图像的关键字。
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