Visional feature extraction, high dimensional indexing mechanism and relevance feedback are three important issues in content-based image retrieval.
低层视觉特征提取、高维数据索引机制和相关反馈方法是面向大规模图像库基于内容检索的三个关键问题。
In the similarity query processing based on high dimensional indexing, the searching space is usually narrowed down by pruning the inactive subspaces which do not contain any query results.
在基于高维索引技术的相似性查询处理中,通常通过过滤那些不包含任何查询结果的非活动子空间来不断缩减搜索空间。
The enhancement of high-dimensional indexing technique is necessary to improve the performance of image database retrieval.
为了提高图像数据库的检索效率,必须提高高维索引的效率。
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