CONTEXT DEPENDENT INTELLIGENT THUMBNAIL IMAGES
First Claim
Patent Images
1. A method for cropping a source image comprising:
- identifying a context for the source image;
identifying a visual class corresponding to the identified context from a set of visual classes;
applying a class model to the source image to identify a candidate region of the image based on its relevance to the visual class; and
identifying a subpart of the source image for cropping based on the candidate region.
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Accused Products
Abstract
An apparatus and method are disclosed for context dependent cropping of a source image. The method includes identifying a context for the source image, identifying a visual class corresponding to the identified context from a set of visual classes, applying a class model to the source image to identify a candidate region of the image based on its relevance to the visual class, and identifying a subpart of the source image for cropping, based on the location of the candidate region.
174 Citations
24 Claims
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1. A method for cropping a source image comprising:
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identifying a context for the source image; identifying a visual class corresponding to the identified context from a set of visual classes; applying a class model to the source image to identify a candidate region of the image based on its relevance to the visual class; and identifying a subpart of the source image for cropping based on the candidate region. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19)
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20. An apparatus for cropping a source image comprising:
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a context finder which automatically identifies a context for the source image; a visual categorizer which automatically identifies a visual class corresponding to the identified context from a set of visual classes; and
applies a class model to the source image to identify a candidate region of the image based on its relevance to the visual class;an image cropper which crops a subpart of the source image based on the candidate region; and memory which stores the source image to be cropped. - View Dependent Claims (21, 22)
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23. A computer implemented method of variable printing comprising:
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identifying a context for a document to receive a cropped image; identifying a visual class corresponding to the identified context from a set of visual classes; applying a class model to a source image to identify a candidate region of the image based on its relevance to the visual class; cropping a subpart of the source image based on the candidate region; and incorporating the cropped subpart into the document.
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24. A method for assisting a user in assessing the relevance of documents responsive to a query comprising:
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receiving a user query; retrieving a document responsive to the query; identifying a context based on at least one of the user query and the retrieved document; identifying a visual class corresponding to the identified context from a set of visual classes; applying a class model to a source image in the retrieved document to identify a candidate region of the source image based on its relevance to the visual class; identifying a subpart of the source image for cropping based on the candidate region; and displaying a context-dependent thumbnail derived from the identified subpart to assist a user in assessing the relevance of the document.
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Specification