自相关图 meaning in English

autocorrelogram

In this paper we use the color auto - correlogram as the similarity metrics of images in low - level feature space , and change the bandwidth function . then we propose the semantic relevance feedback . the system react differently to the positive and negative user ' s feedback so that the system can go on learning after the annotation process by updating the probabilities of the list of attributes of the relevant images and reaching the real values
本文引入颜色自相关图特征作为图像在底层特征空间相邻的度量，并修改了框架中带宽的计算函数，然后引入反馈机制，对于用户的正反馈和负反馈分别作不同的处理，以便在使用过程中，系统能够继续学习，根据反馈更新图像的概率链表，使之逐渐接近真实情况。