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Does Compression Affect Image Retrieval Performance?

机译:压缩会影响图像检索性能吗?

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Image retrieval and image compression are both fields of intensive research. As lossy image compression degrades the visual quality of images and hence changes the actual pixel values of an image, low level image retrieval descriptors which are based on statistical properties of pixel values will change, too. In this article we investigate how image compression affects the performance of low-level colour descriptors. Several image retrieval algorithms are evaluated on a speciated image database compressed at different image quality levels. Extensive experiments reveal that while distribution-based colour descriptors are fairly stable with respect to image compression a drop in retrieval performance can nevertheless be observed for JPEG compressed images. On the other hand, after application of JPEG2000 compression only a negligible performance drop is observed even at high compression ratios.
机译:图像检索和图像压缩都是深入研究的领域。由于有损图像压缩会降低图像的视觉质量并因此更改图像的实际像素值,因此基于像素值的统计属性的低级图像检索描述符也会发生变化。在本文中,我们研究图像压缩如何影响低级颜色描述符的性能。在指定的以不同图像质量级别压缩的图像数据库上评估了几种图像检索算法。大量的实验表明,虽然基于分布的颜色描述符相对于图像压缩而言相当稳定,但是对于JPEG压缩图像,仍然可以观察到检索性能下降。另一方面,在应用JPEG2000压缩后,即使在高压缩比下,也只能观察到微不足道的性能下降。

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