Camera meta-data for content categorization
First Claim
1. A method for classifying blocks of data comprising the steps of:
- capturing a block of non-textual data using a recording device for which settings for data-capture attributes are indicative of characteristics of said non-textual data;
linking meta-data with said block of non-textual data, said meta-data corresponding to at least one said data-capture attribute during said capture by said recording device; and
performing automated processing to assign description to contents of said block, including utilizing said meta-data in determining said description.
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Accused Products
Abstract
A method and system for categorizing non-textual subject data, such as digital images, content-based data and meta-data to determine outcomes of classification tasks. The meta-data is indicative of the operational conditions of a recording device during the capturing of the content-based data. For example, the non-textual subject data may be a digital image captured by a digital camera, and the meta-data may include automatic gain setting, film speed, shutter speed, aperture/lens index, focusing distance, date and time, and flash/no flash operation. The subject image is tagged with selected classifiers by subjecting the image to a series of classification tasks utilizing both content-based data and meta data to determine classifiers associated with the subject image.
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Citations
16 Claims
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1. A method for classifying blocks of data comprising the steps of:
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capturing a block of non-textual data using a recording device for which settings for data-capture attributes are indicative of characteristics of said non-textual data;
linking meta-data with said block of non-textual data, said meta-data corresponding to at least one said data-capture attribute during said capture by said recording device; and
performing automated processing to assign description to contents of said block, including utilizing said meta-data in determining said description. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A system for classifying subject data comprising:
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a recording device for capturing non-textual subject data and for recording meta-data, said meta-data being specific to an operational mode of said recording device during capturing of said non-textual subject data; and
a processor configured to implement a classification technique utilizing both of said non-textual subject data and said meta-data for identifying at least one classifier, said classifier being representative of an attribute of said subject data. - View Dependent Claims (10, 11, 12, 13, 15, 16)
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14. A method of categorizing files of non-textual data comprising the steps of:
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establishing an evaluation system for decision making, including using automated processing techniques to define a plurality of algorithms, said algorithms utilizing both of content-based data and meta-data, said content-based data corresponding to content information of a file of said non-textual data and said meta-data corresponding to data-capturing settings of a data-capturing device during capture of said file of non-textual data;
capturing a file of non-textual subject data; and
processing said file of non-textual subject data through said evaluation system for decision making to selectively identify a plurality of classifiers associated with said file of non-textual subject data.
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Specification