Method for automatic determination of main subjects in photographic images
AssigneeEastman Kodak Company
InventorsJiebo Luo, Stephen Etz, Amit Singhal
Life of this patent
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Abstract
A method for detecting a main subject in an image, the method comprises: receiving a digital image; extracting regions of arbitrary shape and size defined by actual objects from the digital image; grouping the regions into larger segments corresponding to physically coherent objects; extracting for each of the regions at least one structural saliency feature and at least one semantic saliency feature; and integrating saliency features using a probabilistic reasoning engine into an estimate of a belief that each region is the main subject.
Claims37
A method for detecting a main subject in an image, the method comprising the steps of:
- a) receiving a digital image;
- b) extracting regions of arbitrary shape and size defined by actual objects from the digital image;
- c) extracting for each of the regions at least one structural saliency feature and at least one semantic saliency feature;
- and,
- d) integrating the structural saliency feature and the semantic feature using a probabilistic reasoning engine into an estimate of a belief that each region is the main subject.
A method for detecting a main subject in an image, the method comprising the steps of:
- a) receiving a digital image;
- b) extracting regions of arbitrary shape and size defined by actual objects from the digital image;
- c) grouping the regions into larger segments corresponding to physically coherent objects;
- d) extracting for each of the regions at least one structural saliency feature and at least one semantic saliency feature;
- and,
- e) integrating the structural saliency feature and the semantic feature using a probabilistic reasoning engine into an estimate of a belief that each region is the main subject.
Dependencies are inferred from the claim text.