JIRL - A C++ Library for JPEG Compressed Domain Image Retrieval

David Edmundson, G. Schaefer
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引用次数: 3

Abstract

In this paper we present JIRL, an open source C++ software suite that allows to perform content-based image retrieval in the JPEG compressed domain. We provide implementations of nine retrieval algorithms representing the current state-of-the-art. For each algorithm, methods for compressed domain feature extraction as well as feature comparison are provided in an object-oriented framework. In addition, our software suite includes functionality for benchmarking retrieval algorithms in terms of retrieval performance and retrieval time. An example full image retrieval application is also provided to demonstrate how the library can be used. JIRL is made available to fellow researchers under the LGPL.
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一个用于JPEG压缩域图像检索的c++库
在本文中,我们提出了JIRL,一个开源的c++软件套件,允许在JPEG压缩域中执行基于内容的图像检索。我们提供了代表当前最先进技术的九种检索算法的实现。对于每种算法,在面向对象的框架中提供了压缩域特征提取和特征比较的方法。此外,我们的软件套件还包括在检索性能和检索时间方面对检索算法进行基准测试的功能。还提供了一个示例完整图像检索应用程序来演示如何使用该库。在LGPL下,JIRL可供其他研究人员使用。
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