Invention Grant
US09443314B1 Hierarchical conditional random field model for labeling and segmenting images 有权
用于标记和分割图像的分层条件随机场模型

Hierarchical conditional random field model for labeling and segmenting images
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.
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