Abstract
Image retrieval is an important problem in the area of multimedia processing. This paper presents two new curvelet-based algorithms for texture retrieval which are suitable for use in constrained-memory devices. The developed algorithms are tested on three publicly available texture datasets: CUReT, Mondial-Marmi, and STex-fabric. Our experiments confirm the effectiveness of the proposed system. Furthermore, a weighted version of the proposed retrieval algorithm is proposed, which is shown to achieve promising results in the classification of seismic activities.
Abstract (translated)
图像检索是多媒体处理领域的一个重要问题。本文提出了两种新的基于曲线段的纹理检索算法，适用于受限存储设备。开发的算法在三个公开的纹理数据集上进行了测试：curet、mondial marmi和stex fabric。实验证明了该系统的有效性。此外，还提出了一种加权反演算法，在地震活动分类中取得了良好的效果。
URL
https://arxiv.org/abs/1905.09976
