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A Survey on Content Based Image Retrieval System

机译:基于内容的图像检索系统研究

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摘要

Owing to information explosion, image databases are growing at the same pace as text and multimedia content. To organize and to search a desired image relevant to the content becoming a crucial problem that demands for efficient and effective tools in this context. Content based image retrieval systems (CBIR) have become very popular offering relatively lessil human intervention. Efficient automatic image indexing is a real challenge for computer vision and content based image retrieval. In content based image retrieval system, an image is searched based on the contents similar to the query image. The image content can be described by a set of local features. In this paper, an overview of various attributes of an image is provided that are used in designing an efficient and inexpensive image indexing technique, the problems and challenges of different data storage structure for content based image database system. An attempt is also made to describe the existing solutions and applications in this area.
机译:由于信息爆炸,图像数据库以与文本和多媒体内容相同的速度增长。组织和搜索与内容有关的期望图像成为在此上下文中需要高效工具的关键问题。基于内容的图像检索系统(CBIR)已变得非常流行,提供相对较少/几乎没有人为干预。高效的自动图像索引是计算机视觉和基于内容的图像检索的真正挑战。在基于内容的图像检索系统中,基于与查询图像相似的内容来搜索图像。图像内容可以通过一组局部特征来描述。在本文中,提供了图像的各种属性的概述,这些属性用于设计高效且廉价的图像索引技术,基于内容的图像数据库系统不同数据存储结构的问题和挑战。还尝试描述该领域中的现有解决方案和应用。

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