Image learning, automatic annotation, retrieval method, and device
    1.
    发明授权
    Image learning, automatic annotation, retrieval method, and device 有权
    图像学习,自动注释,检索方法和设备

    公开(公告)号:US08232996B2

    公开(公告)日:2012-07-31

    申请号:US12468423

    申请日:2009-05-19

    IPC分类号: G06T11/20 G06F15/16

    摘要: A first image having annotations is segmented into one or more image regions. Image feature vectors and text feature vectors are extracted from all the image regions to obtain an image feature matrix and a text feature matrix. The image feature matrix and the text feature matrix are projected into a sub-space to obtain the projected image feature matrix and the text feature matrix. The projected image feature matrix and the text feature matrix are stored. First links between the image regions, second links between the first image and the image regions, third links between the first image and the annotations, and fourth links between the annotations are established. Weights of all the links are calculated. A graph showing a triangular relationship between the first image, image regions, and annotations is obtained based on all the links and the weights of the links.

    摘要翻译: 具有注释的第一图像被分割成一个或多个图像区域。 从所有图像区域提取图像特征向量和文本特征向量以获得图像特征矩阵和文本特征矩阵。 将图像特征矩阵和文本特征矩阵投影到子空间中以获得投影图像特征矩阵和文本特征矩阵。 存储投影图像特征矩阵和文本特征矩阵。 建立图像区域之间的第一链接,第一图像和图像区域之间的第二链接,第一图像和注释之间的第三链接以及注释之间的第四链接。 计算所有链接的重量。 基于链接的所有链接和权重,获得显示第一图像,图像区域和注释之间的三角形关系的图形。