ACTIVE SEGMENTATION FOR GROUPS OF IMAGES
First Claim
1. A computer-implemented method of segmenting images, comprising:
- comparing similarity of images in a set of images;
selecting a group of images from the set of images, wherein the images in the group of images are selected based on compared similarities among the images;
selecting from the group of images an informative image;
receiving user-defined semantic information of the informative image;
modeling the group of images as a graph, wherein each image in the group of images denotes a node in the graph, and wherein edges of the graph denote a foreground relationship between images or a background relationship between images; and
automatically segmenting one or more images in the group of images by propagating the semantic information of the informative image to images in the group of images having a corresponding graph node that is related to a graph node corresponding to the informative image.
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Abstract
Systems and methods of segmenting images are disclosed herein. The similarity of images in a set of images is compared. A group of images is selected from the set of images. The images in the group of images are selected based on compared similarities among the images. An informative image is selected from the group of images. User-defined semantic information of the informative image is received. The group of images as a graph is modeled as a graph. Each image in the group of images denotes a node in the graph. Edges of the graph denote a foreground relationship between images or a background relationship between images. One or more images in the group of images are automatically segmented by propagating the semantic information of the informative image to images in the group of images having a corresponding graph node that is related to a graph node corresponding to the informative image. Segmentation results can be refined according to user provided image semantics.
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Citations
14 Claims
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1. A computer-implemented method of segmenting images, comprising:
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comparing similarity of images in a set of images; selecting a group of images from the set of images, wherein the images in the group of images are selected based on compared similarities among the images; selecting from the group of images an informative image; receiving user-defined semantic information of the informative image; modeling the group of images as a graph, wherein each image in the group of images denotes a node in the graph, and wherein edges of the graph denote a foreground relationship between images or a background relationship between images; and automatically segmenting one or more images in the group of images by propagating the semantic information of the informative image to images in the group of images having a corresponding graph node that is related to a graph node corresponding to the informative image. - View Dependent Claims (2, 3, 4, 5, 6, 7)
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8. A computer-readable medium having computer-executable instructions for causing a computer to segmenting images including the steps of:
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selecting a group of images from a set of images, wherein the images in the group of images are selected based on similarities among the images in the set of images; selecting from the group of images an informative image; receiving user-defined semantic information of the informative image; modeling the group of images as a graph, wherein each image in the group of images denotes a node in the graph, and wherein edges of the graph denote a foreground relationship between images or a background relationship between images; and automatically segmenting one or more images in the group of images by propagating the semantic information of the informative image to images in the group of images having a corresponding graph node that is related to a graph node corresponding to the informative image. - View Dependent Claims (9, 10, 11, 12, 13, 14)
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Specification