Hierarchical conditional random field model for labeling and segmenting images

    公开(公告)号:US10102443B1

    公开(公告)日:2018-10-16

    申请号:US15232941

    申请日:2016-08-10

    Applicant: Google LLC

    Abstract: An image processing system automatically segments and labels an image using a hierarchical classification model. A global classification model determines initial labels for an image based on features of the image. A label-based descriptor is generated based on the initial labels. A local classification model is then selected from a plurality of learned local classification model based on the label-based descriptor. The local classification model is applied to the features of the input image to determined refined labels. The refined labels are stored in association with the input image.

Patent Agency Ranking