文章基本信息

标题：Various Feature Extraction Techniques in CBIRS: Survey
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作者：Rajiv Bansal ; Sukirti Gupta
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：2016
卷号：4
期号：2
页码：1340
DOI：10.15680/IJIRCCE.2016.0402041
出版社：S&S Publications
摘要：Content based image retrieval is also called as query by image content (QBIC) and content based visual information (CBVIR), which is the application of computer system techniques to the image retrieval problem that means the process of searching digital images in huge databases. Content-based image retrieval (CBIR) is better than that of traditional approaches. Content-based means that the search will analyzes the contents of the image not keywords, tags, or descriptions, which is to be associated with image. Content basically deals with colors, textures and shapes. CBIR is necessary as searches rely on metadata are dependent on annotation quality .The evaluation of the effectiveness of keyword image search is subjective and is very time -consuming
关键词：CBIR; Content Based Image Retrieval; Image Retrieval; Feature Extraction; Texture based