公开(公告)号：US20160224593A1

公开(公告)日：2016-08-04

申请号：US15094675

申请日：2016-04-08

Applicant: Huawei Technologies Co., Ltd.

Inventor： Shi QIU ,  Xiaogang WANG ,  Wenqi JU ,  Jianzhuang LIU ,  Xiaoou TANG

IPC: G06F17/30 ,  G06N99/00

CPC classification number: G06F16/583 ,  G06F16/24578 ,  G06F16/285 ,  G06F16/9024 ,  G06N20/00

Abstract: The present disclosure relates to an image re-ranking method, which includes: performing image searching by using an initial keyword, obtaining, by calculation, an anchor concept set of a search result according to the search result corresponding to the initial keyword, obtaining, by calculation, a weight of a correlation between anchor concepts in the anchor concept set, and forming an anchor concept graph ACG by using the anchor concepts in the anchor concept set as vertexes and the weight of the correlation between anchor concepts as a weight of a side between the vertexes; acquiring a positive training sample by using the anchor concepts, and training a classifier by using the positive training sample; obtaining a concept projection vector by using the ACG and the classifier; calculating an ACG distance between images in the search result corresponding to the initial keyword; and ranking the images according to the ACG distance.

Abstract translation: 本发明涉及一种图像重排法，其包括：通过使用初始关键字进行图像搜索，根据与初始关键词相对应的搜索结果，通过计算获得搜索结果的锚概念集， 通过计算，锚概念集中的锚概念之间的相关性的权重，以及通过使用锚概念集中的锚概念作为顶点形成锚概念图ACG，以及锚概念之间的相关性的权重作为 顶点之间; 通过使用锚概念获取积极的训练样本，并通过使用正训练样本训练分类器; 通过使用ACG和分类器获得概念投影向量; 计算与初始关键字对应的搜索结果中的图像之间的ACG距离; 并根据ACG距离对图像进行排序。