Data processing: database and file management or data structures – Database and file access – Preparing data for information retrieval
Reexamination Certificate
2011-01-18
2011-01-18
Fleurantin, Jean B. (Department: 2162)
Data processing: database and file management or data structures
Database and file access
Preparing data for information retrieval
C707S688000
Reexamination Certificate
active
07873642
ABSTRACT:
A method and apparatus for ontology-based classification of media content are provided. With the method and apparatus, initial confidence values of classifiers in a hierarchical classification structure are modified based on relationships between classifiers. A confidence value for a classifier is boosted by a boosting factor based on a correspondence between the confidence value and confidence values of ancestor classifiers in the hierarchical classification structure. A confidence value for a classifier is modified by a confusion factor based on a correspondence between the confidence value of the classifier and the confidence values of mutually exclusive classifiers in the hierarchical classification structure. In this way, a more accurate representation of the actual confidence that media content falls within the classification associated with the classifier is obtained. From this improved classification mechanism, indices for media content may be generated for use in accessing the media content at a later time.
REFERENCES:
patent: 6233575 (2001-05-01), Agrawal et al.
patent: 6643643 (2003-11-01), Lee et al.
patent: 7099860 (2006-08-01), Liu et al.
Clausen et al., “An Efficient Indexing and Search Technique for Multimedia Databases”, pp. 1-12, 2003,University of Bonn, Bonn, Germany.
Iyengar et al., “Discriminative Model Fusion for Semantic Concept Detection and Annotation in Video”, Nov. 2003, pp. 1-5, ACM Multimedia, Berkeley, California.
Blockeel et al., “Hierarchical multi-classification”, 2002, pp. 21-35, KDD-2002 Workshop.
D'Alessio et al., “The Effect of Using Hierarchical Classifiers In Text Categorization”, In Proc. of the 6th Int. Conf. “Recherche d'Information Assistee par Ordinateur”, 2000, pp. 302-313, Paris, FR.
Naphade et al., “Modeling Semantic Concepts to Support Query by Keywords in Video”, In IEEE International Conference on Image Processing, Sep. 2002, pp. 145-148, IEEE, Rochester, NY.
Doulamis et al., “A fuzzy video content representation for video summarization and content-based retrieval”, Jun. 2000, pp. 1-19, vol. 80 No. 6, Signal Processing.
Tong et al., “Support Vector Machine Active Learning for Image Retrieval”, Proceedings of ACM International Conference on Multimedia, Oct. 2001, pp. 107-118, ACM.
Chang et al., “Statistical Learning for Effective Visual Information Retrieval”, IEEE International Conference on Image Processing (ICIP), Sep. 2003, pp. 609-612, Barcelona.
McCallum et al., “Improving Text Classification by Shrinkage in a Hierarchy of Classes”, In ICML-98, 1998, pp. 359-367.
Li et al., “Confidence-based Dynamic Ensemble for Image Annotation and Semantics Discovery”, ACM Multimedia, Nov. 2003, pp. 1-12, Berkeley, CA.
Griffioen et al., “Content-based Multimedia Data Management and Efficient Remote Access”, Oct. 1995, pp. 1-13. http://www.uky.edu/˜kiernan/DL/brent.html.
Smith John R.
Tseng Belle L.
Wu Yi
Dougherty Anne V.
Fleurantin Jean B.
Gofman Alex
International Business Machines - Corporation
Yee & Associates P.C.
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