Mathematical modeling of image database complexity

A. Rao, R. Srihari, L. Zhu, A. Zhang
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引用次数: 3

Abstract

The performance of a content based image retrieval system strongly depends on its testbed. A theoretical framework is proposed for modeling image database complexity. The goal is to investigate the relationship between a given indexing technique and a given image database. As an analogy to the concept of perplexity of a text corpus, the complexity of an image database is introduced. This is a quantitative measure of the quality of an image database for the task of content access to the database. The complexity of an image database is an intrinsic property of the database and can be used to distinguish the difficulty of image retrieval on different databases. On the other hand, the measure can be used to compare the effectiveness of different indexing techniques.
图像数据库复杂性的数学建模
基于内容的图像检索系统的性能在很大程度上取决于它的测试平台。提出了一种图像数据库复杂性建模的理论框架。目标是研究给定索引技术和给定图像数据库之间的关系。图像数据库的复杂性与文本语料库的复杂性类似。这是一种定量度量图像数据库质量的任务,用于对数据库的内容访问。图像数据库的复杂性是数据库的一种内在属性,可以用来区分不同数据库中图像检索的难易程度。另一方面,该指标可用于比较不同索引技术的有效性。
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