Multi-dimensional realization of visual content of an image collection
First Claim
1. A computing system for understanding the content of a collection of visual media files comprising one or more of digital images and digital videos, the computing system comprising a plurality of instructions embodied in one or more non-transitory machine accessible storage media and executable by one or more computing devices to cause the computing system to:
- execute a plurality of different feature detection algorithms on the collection of visual media files;
determine, based on the execution of the feature detection algorithms, a plurality of different visual features depicted in the visual media files; and
cluster the visual media files by, for each of the visual media files in the collection;
computing a plurality of similarity measures, each similarity measure representing a measurement of similarity of visual content of at least one of the visual media files in the collection to only one of the visual features determined as a result of the execution of the feature detection algorithms; and
associating the at least one of the visual media files in the collection with a visual feature based on the similarity measure computed for the at least one of the visual media files with respect to the visual feature.
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Abstract
A computing system for realizing visual content of an image collection executes feature detection algorithms and semantic reasoning techniques on the images in the collection to elicit a number of different types of visual features of the images. The computing system indexes the visual features and provides technologies for multi-dimensional content-based clustering, searching, and iterative exploration of the image collection using the visual features and/or the visual feature indices.
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Citations
20 Claims
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1. A computing system for understanding the content of a collection of visual media files comprising one or more of digital images and digital videos, the computing system comprising a plurality of instructions embodied in one or more non-transitory machine accessible storage media and executable by one or more computing devices to cause the computing system to:
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execute a plurality of different feature detection algorithms on the collection of visual media files; determine, based on the execution of the feature detection algorithms, a plurality of different visual features depicted in the visual media files; and cluster the visual media files by, for each of the visual media files in the collection; computing a plurality of similarity measures, each similarity measure representing a measurement of similarity of visual content of at least one of the visual media files in the collection to only one of the visual features determined as a result of the execution of the feature detection algorithms; and associating the at least one of the visual media files in the collection with a visual feature based on the similarity measure computed for the at least one of the visual media files with respect to the visual feature. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification