METHODS AND APPARATUS FOR AUTOMATED TRUE OBJECT-BASED IMAGE ANALYSIS AND RETRIEVAL
First Claim
1. A computerized system comprising:
- an image locator configured to locate images for analysis within an image repository; and
a region of interest classifier that segments one or more images located by the image locator into a plurality of regions of interest, each region of interest containing image content associated with one or more actual features of a physical object in the region of interest, the region of interest classifier being configured to extract one or more physical descriptors from the image content for each region of interest as a physical feature vector, each physical descriptor corresponding to at least one of the one or more actual features of a given physical object in the region of interest associated with the image content.
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Abstract
The present invention is an automated and extensible system for the analysis and retrieval of images based on region-of-interest (ROI) analysis of one or more true objects depicted by an image. The system uses an ROI database that is a relational or analytical database containing searchable vectors that represent the images stored in a repository. Entries in the database are created by an image locator and ROI classifier that work to locate images within the repository and extract relevant information that will be stored in the ROI database. The ROI classifier analyzes objects in an image identify actual features of the true object. Graphical searches are performed by the collaborative workings of an image retrieval module, an image search requestor and an ROI query module. The image search requestor is an abstraction layer that translates user or agent search requests into the language understood by the ROI query.
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Citations
20 Claims
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1. A computerized system comprising:
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an image locator configured to locate images for analysis within an image repository; and a region of interest classifier that segments one or more images located by the image locator into a plurality of regions of interest, each region of interest containing image content associated with one or more actual features of a physical object in the region of interest, the region of interest classifier being configured to extract one or more physical descriptors from the image content for each region of interest as a physical feature vector, each physical descriptor corresponding to at least one of the one or more actual features of a given physical object in the region of interest associated with the image content. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A computer-implemented method comprising:
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locating, using one or more computers, images for analysis within an image repository; segmenting, using the one or more computers, the located images into a plurality of regions of interest, each region of interest containing content associated with one or more actual features of a physical object; and extracting, using the one or more computers, at least one physical descriptor from the image content for each region of interest as a physical feature vector, each physical descriptor corresponding to one or more of the actual features of a given physical object in the region of interest associated with the image content. - View Dependent Claims (16, 17, 18, 19)
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20. A non-transitory computer readable recording medium recorded with a program that, when executed by one or more computers, causes the one or more computers to implement a method comprising:
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locating images for analysis within an image repository; segmenting the located images into a plurality of regions of interest, each region of interest containing content associated with one or more actual features of a physical object; and extracting at least one physical descriptor from the image content for each region of interest as a physical feature vector, each physical descriptor corresponding to one or more of the actual features of a given physical object in the region of interest associated with the image content.
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Specification