Polar Embedding for Aurora Image Retrieval
Polar Embedding for Aurora Image Retrieval
复制标题
用于极光图像检索的极地嵌入
DOI：
10.1109/tip.2015.2442913
复制
发表时间：
2015-11-01
影响因子：
10.6
通讯作者：
Tian, Qi
中科院分区：
文献类型：
--
作者：
Yang, Xi;Gao, Xinbo;Tian, Qi
探索多媒体技术来辅助科学家的研究是一个有趣而有意义的话题。在本文中，我们专注于大规模的极光图像检索利用袋视觉词（BoVW）框架。为了改进不合适的表示和提高检索性能，BoVW模型通过嵌入极性信息进行修改。所提出的极坐标嵌入方法的优越性在于两个方面。一方面，采用极坐标网格化方法确定兴趣点，该方法更适合于圆形鱼眼透镜采集的图像。特别是对于极光图像，提取的极标不变特征变换（polar-SIFT）特征还能反映地磁经纬度，便于进一步的数据分析。另一方面，提出了二进制极深局部二进制模式（polar-DLBP）描述符，以提高视觉词的区分能力。与通过汉明嵌入获得的64位polar-SIFT码一起，执行多特征索引以减少误报匹配的影响。在大规模极光图像数据集上进行了大量的实验。实验结果表明，该方法在保证检索效率和内存开销的前提下，显著提高了检索精度。此外，极化SIFT方案和极化DLBP积分的有效性分别证明。
Exploring the multimedia techniques to assist scientists for their research is an interesting and meaningful topic. In this paper, we focus on the large-scale aurora image retrieval by leveraging the bag-of-visual words (BoVW) framework. To refine the unsuitable representation and improve the retrieval performance, the BoVW model is modified by embedding the polar information. The superiority of the proposed polar embedding method lies in two aspects. On the one hand, the polar meshing scheme is conducted to determine the interest points, which is more suitable for images captured by circular fisheye lens. Especially for the aurora image, the extracted polar scale-invariant feature transform (polar-SIFT) feature can also reflect the geomagnetic longitude and latitude, and thus facilitates the further data analysis. On the other hand, a binary polar deep local binary pattern (polar-DLBP) descriptor is proposed to enhance the discriminative power of visual words. Together with the 64-bit polar-SIFT code obtained via Hamming embedding, the multifeature index is performed to reduce the impact of false positive matches. Extensive experiments are conducted on the large-scale aurora image data set. The experimental result indicates that the proposed method improves the retrieval accuracy significantly with acceptable efficiency and memory cost. In addition, the effectiveness of the polar-SIFT scheme and polar-DLBP integration are separately demonstrated.