文章基本信息

标题：Image Retrieval Using Personalized and Non-Personalized Search
本地全文：下载
作者：DR.A.MUTHU KUMARAVEL
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2013
卷号：1
期号：1
出版社：S&S Publications
摘要：Image search is a specialized data search used to find images. To search for images, a user may providequery terms such as keyword, image file/link, or click on some image, and the system will return images "similar" tothe query. The similarity used for search criteria could be meta tags, colour distribution in images, region/shapeattributes, etc. Image meta search - search of images based on associated metadata such as keywords, text, etc.Contentbasedimage retrieval (CBIR) – the application of computer vision to the image retrieval. CBIR aims at avoiding the useof textual descriptions and instead retrieves images based on similarities in their contents (textures, colors, shapes etc.)to a user-supplied query image or user-specified image features.
关键词：Image Retrieval; Social Annotation; Content Based; Text Based