Automated Generation of Metadata for Mining Image and Text Data
First Claim
1. A tangible computer readable medium encoded with instructions for automatically generating metadata, wherein said execution of said instructions by one or more processors causes said “
- one or more processors”
to perform the steps comprising;
a. creating at least one feature vector for each document in a dataset;
b. extracting said one feature vector;
c. recording said feature vector as a digital object;
d. augmenting metadata using said digital object to reduce the volume of said dataset, said augmenting capable of allowing a user to perform a search on said dataset.
0 Assignments
0 Petitions
Accused Products
Abstract
A tangible computer readable medium encoded with instructions for automatically generating metadata, wherein said execution of said instructions by one or more processors causes said “one or more processors” to perform the steps comprising: a. creating at least one feature vector for each document in a dataset; b. extracting said one feature vector; c. recording said feature vector as a digital object; and d. augmenting metadata using said digital object to reduce the volume of said dataset, said augmenting capable of allowing a user to perform a search on said dataset.
-
Citations
22 Claims
-
1. A tangible computer readable medium encoded with instructions for automatically generating metadata, wherein said execution of said instructions by one or more processors causes said “
- one or more processors”
to perform the steps comprising;a. creating at least one feature vector for each document in a dataset; b. extracting said one feature vector; c. recording said feature vector as a digital object; d. augmenting metadata using said digital object to reduce the volume of said dataset, said augmenting capable of allowing a user to perform a search on said dataset. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
- one or more processors”
-
12. An automated metadata generation system comprising:
-
a. a feature vector creator, configured for creating at least one feature vector for each document in a dataset; b. a feature vector extractor, configured for extracting said one feature vector; c. a digital object recorder, configured for recording said feature vector as a digital object; and d. a metadata augmenter, configured for augmenting metadata using said digital object to reduce the volume of said dataset, said augmenting capable of allowing a user to perform a search on said dataset. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21, 22)
-
Specification