基于代表性查询的矢量图像快速相似性检索

Takahiro Hayashi, A. Sato
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引用次数: 1

摘要

提出了一种矢量图像的快速相似度检索方法。为了降低相似度匹配的计算成本,该方法使用了相似度匹配的预计算结果,通过将DB图像与先前选择的图像进行匹配,即代表性查询,提前获得相似度匹配的预计算结果。在运行时,建议的方法只匹配实际查询(用户输入的查询)和代表性查询。通过与预先计算的相似度进行比较,该方法可以快速估计出DB图像与实际查询的实际相似度。实验结果表明,该方法在不影响检索精度的前提下,大大缩短了检索时间。
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Fast Similarity Retrieval of Vector Images Using Representative Queries
This paper presents a fast similarity retrieval method for vector images. To reduce the computational cost of similarity matching, the proposed method uses pre-calculation results of similarity matching, which are obtained in advance by matching DB images with previously selected images called representative queries. At runtime the proposed method just matches the actual query (the user-inputted query) and the representative queries. Comparing the similarities with the precalculated similarities, the proposed method quickly estimates the actual similarities of DB images to the actual query. Experimental results have shown that the retrieval time is greatly reduced by the proposed method without much deterioration of retrieval accuracy.
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