A linear system of equations with constraints for multipoint queries in image retrieval

Khanh Vu, K. Hua, Ning Yu
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引用次数: 1

Abstract

In this paper, we argue that two inferences can be made from the results of recent studies: the continuity of image representation and the non-homogeneity of feature space. These characteristics enable the identification of points that satisfy the constraints established in multipoint queries in any orthogonal feature representations. The set can be described by a linear system of equations with constraints. We look at several existing techniques and propose one that can retrieve the set efficiently. We evaluated the performance of our present technique on large sets of images. The results indicate that the new representation matches semantic classes of images very well. The superiority of our approach is evident in the experimental results and in actual implementation
图像检索中多点查询的带约束线性方程组
在本文中,我们认为从最近的研究结果可以得出两个推论:图像表示的连续性和特征空间的非同质性。这些特征使得能够在任何正交特征表示中识别满足多点查询中建立的约束的点。这个集合可以用一个带约束的线性方程组来描述。我们研究了几种现有的技术,并提出了一种可以有效地检索集合的技术。我们评估了我们目前的技术在大图像集上的性能。结果表明,该方法能很好地匹配图像的语义类。该方法的优越性在实验结果和实际应用中都得到了体现
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