基于彩色视觉模式的压缩域图像检索

G. Schaefer
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引用次数: 2

摘要

图像检索和图像压缩通常是分开进行的。只有很少的研究已经完成了两者的综合,允许在图像的压缩域中直接执行图像检索,而不需要首先解压缩它们。在本章中,作者证明了这种压缩域图像检索确实是可以实现的,并且可以带来有效和高效的检索性能。他们介绍了一种新的压缩算法——彩色视觉模式图像编码(CVPIC),并提出了几种直接对压缩后的CVPIC数据进行操作的检索算法。他们的实验表明,不仅可以实现这种中游内容访问,而且所提出的技术优于标准的检索技术,如颜色直方图和颜色相关图。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Compressed-Domain Image Retrieval Based on Colour Visual Patterns
Image retrieval and image compression have been typically pursued separately. Only little research has been done on a synthesis of the two by allowing image retrieval to be performed directly in the compressed domain of images without the need to uncompress them first. In this chapter the authors show that such compressed domain image retrieval can indeed be done and lead to effective and efficient retrieval performance. They introduce a novel compression algorithm - colour visual pattern image coding (CVPIC) - and present several retrieval algorithms that operate directly on compressed CVPIC data. Their experiments demonstrate that it is not only possible to realise such midstream content access, but also that the presented techniques outperform standard retrieval techniques such as colour histograms and colour correlograms.
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