Correlative Multi-Label Image Annotation
First Claim
Patent Images
1. A method for correlative multi-label image annotation, the method comprising:
- creating a concept feature modeling portion responsive to low-level features of an image to model connections between the low-level features of the image and individual concepts that are to be annotated;
creating a concept correlation modeling portion to model correlations among at least a subset of the concepts that are to be annotated;
forming a combination feature vector responsive to the concept feature modeling portion and the concept correlation modeling portion; and
solving a labeling function responsive to the combination feature vector to produce a concept label vector for the image, the concept label vector including label indicators respectively associated with the concepts that are to be annotated.
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Abstract
Correlative multi-label image annotation may entail annotating an image by indicating respective labels for respective concepts. In an example embodiment, a classifier is to annotate an image by implementing a labeling function that maps an input feature space and a label space to a combination feature vector. The combination feature vector models both features of individual ones of the concepts and correlations among the concepts.
42 Citations
20 Claims
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1. A method for correlative multi-label image annotation, the method comprising:
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creating a concept feature modeling portion responsive to low-level features of an image to model connections between the low-level features of the image and individual concepts that are to be annotated; creating a concept correlation modeling portion to model correlations among at least a subset of the concepts that are to be annotated; forming a combination feature vector responsive to the concept feature modeling portion and the concept correlation modeling portion; and solving a labeling function responsive to the combination feature vector to produce a concept label vector for the image, the concept label vector including label indicators respectively associated with the concepts that are to be annotated. - View Dependent Claims (2, 3, 4, 5)
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6. A system for correlative multi-label image annotation, the system comprising:
a multi-label classifier to produce a concept label vector for an image responsive to low-level features of the image using a labeling function, the concept label vector to include multiple label indicators for multiple concepts that are to be annotated, the labeling function to include a combination feature vector having a concept characteristics portion and a concept correlations portion;
wherein the concept characteristics portion is to model connections between the low-level features of the image and detection data for individual concepts, and the concept correlations portion is to model correlations among at least a subset of the multiple concepts that are to be annotated.- View Dependent Claims (7, 8, 9)
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10. A system for correlative multi-label image annotation, the system comprising:
a classifier to annotate an image by indicating respective labels for respective concepts;
the classifier to implement a labeling function that maps an input feature space and a label space to a combination feature vector, the combination feature vector to model (i) features of individual ones of the concepts and (ii) correlations among the concepts.- View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
Specification