压缩图像的存储和检索

Proceedings of International Conference on Consumer Electronics Pub Date : 1995-08-01 DOI:10.1109/ICCE.1995.517928

F. Idris, S. Panchanathan

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引用次数: 55

摘要

在本文中，我们提出了一种新的压缩图像存储和检索技术。在这里，使用矢量量化对图像进行压缩，并使用码本生成特征向量。该特征向量用作访问数据库中的图像的索引。该技术将图像压缩与图像索引相结合。此外，与文献中报道的其他技术相比，它具有更低的存储和计算需求。>

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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STORAGE AND RETRIEVAL OF COMPRESSED IMAGES

In this paper, we propose a new technique for the storage and retrieval of compressed images. Here, the images are compressed using vector quantization and the codebook is used to generate a feature vector. This feature vector is used as an index to access the images in the database. This technique combines image compression with image indexing. In addition, it has lower storage and computation requirements compared with other techniques reported in the literature. >

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Proceedings of International Conference on Consumer Electronics

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