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;
performing automated processing to assign description to contents of said block, including utilizing said meta-data in determining said description by operations within a progression of decisional nodes, said progression of decisional nodes being configured to invoke algorithms for selectively assigning descriptions to said blocks of data; and
enabling utilization of said descriptions assigned by said operations within said progression of decisional nodes to implement searches for particular said blocks of data via query matching.
2 Assignments
0 Petitions
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.
76 Citations
14 Claims
-
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; performing automated processing to assign description to contents of said block, including utilizing said meta-data in determining said description by operations within a progression of decisional nodes, said progression of decisional nodes being configured to invoke algorithms for selectively assigning descriptions to said blocks of data; and enabling utilization of said descriptions assigned by said operations within said progression of decisional nodes to implement searches for particular said blocks of data via query matching. - View Dependent Claims (2, 3, 4, 5, 6, 7)
-
-
8. A system for classifying subject data comprising:
-
a recording device for capturing non-textual subject data and for recording mets-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, said classification technique including a decision tree capable of invoking algorithms that utilize 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, said processor being further configured to implement searches for specific said non-textual subject data via query matching to classifiers identified by said classification technique. - View Dependent Claims (9, 10, 11, 12)
-
-
13. A method of categorizing files of non-textual data comprising the steps of:
-
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, said establishing including a learning procedure in which said meta-data is identified for each of a plurality of learning images, said meta-data for each said learning image being indicative of operational conditions of said data-capturing device during capture of said learning image; capturing a file of non-textual subject data; 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, said evaluation system including a progression of decisional nodes configured to invoke said algorithms so as to selectively identify said plurality of classifiers; and enabling utilization of said plurality of classifiers identified by said evaluation system for decision making to implement searches for said file via query matching. - View Dependent Claims (14)
-
Specification