文章基本信息

标题：Bridging the Semantic Gap
本地全文：下载
作者：Tanveer J. Siddiqui
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：5
页码：4790-4794
出版社：TechScience Publications
摘要：Content-based image retrieval systems were introduced as an alternative to avoid the need of manual tagging in traditional keyword-based image retrieval systems. However, the representation of image using visual features only involves a loss of information which is referred to as semantic gap. A number of techniques have been proposed to deal with ‘semantic gap’. This paper reviews existing approaches to handle the well-known ‘semantic gap’ problem in image retrieval systems with a particular focus to approaches based on text and image fusion.
关键词：Image retrieval; Semantic Image Retrieval;CBIR; Text and Image fusion.