Image analysis – Image transformation or preprocessing – Image storage or retrieval
Reexamination Certificate
2004-04-08
2008-07-01
Patel, Kanjibhai (Department: 2624)
Image analysis
Image transformation or preprocessing
Image storage or retrieval
C382S228000, C707S793000, C711S100000
Reexamination Certificate
active
07394947
ABSTRACT:
The present invention provides a statistical modeling approach to automatic linguistic indexing of photographic images. The invention uses categorized images to train a dictionary of hundreds of statistical models each representing a concept. Images of any given concept are regarded as instances of a stochastic process that characterizes the concept. To measure the extent of association between an image and a textual description associated with a predefined concept, the likelihood of the occurrence of the image based on the characterizing stochastic process is computed. A high likelihood indicates a strong association between the textual description and the image. The invention utilizes two-dimensional multi-resolution hidden Markov models that demonstrate accuracy and high potential in linguistic indexing of photographic images.
REFERENCES:
patent: 7043474 (2006-05-01), Mojsilovic et al.
patent: 7124149 (2006-10-01), Smith et al.
patent: 7194134 (2007-03-01), Bradshaw
patent: 7215828 (2007-05-01), Luo
patent: 2004/0100510 (2004-05-01), Milic-Frayling et al.
Jia Li and James Z. Wang, “Studying Digital Imagery of Ancient Paintings by Mixtures of Stochastic Models,” IEEE Transactions on Image Processing, vol. 13, No. 3, pp. 340-353, 2004.
Jia Li and James Z. Wang, “Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, No. 9, pp. 1075-1088, 2003.
Yixin Chen and James Z. Wang, “Support Vector Learning for Fuzzy Rule-Based Classification Systems,” IEEE Transactions on Fuzzy Systems, vol. 11, No. 6, pp. 716-728, 2003.
James Z. Wang, Jia Li and Sui Ching Lin, “Evaluation Strategies for Automatic Linguistic Indexing of Pictures,” Proceedings of the IEEE International Conference on Image Processing (ICIP), vol. 3, pp. 617-620, Barcelona, Spain, IEEE, Sep. 2003.
Yixin Chen, James Z. Wang and Robert Krovetz, “An Unsupervised Learning Approach to Content-Based Image Retrieval,” Proceedings of the IEEE International Symposium on Signal Processing and its Applications, vol. 1, pp. 197-200, Paris, France, Jul. 2003.
Yixin Chen and James Z. Wang, “Kernel Machines and Additive Fuzzy Systems: Classification and Function Approximation,” Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 789-795, St. Louis, MO, 2003.
Yixin Chen and James Z. Wang, “Looking Beyond Region Boundaries: A Robust Image Similarity Measure Using Fuzzified Region Features,” Proceedings of the IEEE International Conference on Fuzzy Systems, pp. 1165-1170, St. Louis, MO, 2003.
Yixin Chen, James Z. Wang and Robert Krovetz, “Content-Based Image Retrieval by Clustering,” Proceedings of the 5th International Workshop on Multimedia Information Retrieval, in conjuction with ACM Multimedia, pp. 193-200, Berkeley, CA, ACM, Nov. 2003.
James Z. Wang, Jia Li and Ching-chih Chen, “Machine Annotation for Digital Imagery of Historical Materials Using the ALIP System,” Proceedings of the DELOS-NSF Workshop on Multimedia in Digital Libraries, 5 pages, Crete, Greece, 2003. In e-proceedings.
Yixin Chen and James Z. Wang, “A Region-Based Fuzzy Feature Matching Approach to Content-Based Image Retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, No. 9, pp. 1252-1267, 2002.
James Z. Wang and Jia Li, “Learning-Based Linguistic Indexing of Pictures with 2-D MHMMs,” Proceedings of the ACM Multimedia Conference, pp. 436-445, Juan Les Pins, France, ACM, Dec. 2002.
Ching-chih Chen and James Z. Wang, “Large-Scale Emperor Digital Library and Semantics-Sensitive Region-Based Retrieval,” Proceedings of the International Conference on Digital Library—IT Opportunities and Challenges in the New Millennium, pp. 454-462, Beijing, China, Jul. 9-11, 2002.
James Z. Wang, Jia Li and Ching-chih Chen, “Interdisciplinary Research to Advance Digital Imagery Indexing and Retrieval Technologies for Asian Art and Cultural Heritages,” Proceedings of the 4th International Workshop on Multimedia Information Retrieval, in conjunction with ACM Multimedia, 6 pages, Juan Les Pins, France, ACM, Dec. 2002.
James Z. Wang and Jia Li, “Mining Digital Imagery Data for Automatic Linguistic Indexing of Pictures,” Proceedings of the NSF Workshop on Next Generation Data Mining, pp. 69-76, Baltimore, MD, Nov. 2002.
DELOS-NSF Working Group, “Research on Digital Imagery for Significant Cultural and Historical Materials,” DELOS-NSF Working Group Reports, 19 pages, Boston, MA, Dec. 2002.
James Z. Wang, Jia Li and Gio Wiederhold, “SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture Libraries,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, No. 9, pp. 947-963, 2001.
James Z. Wang, Jia Li, Robert M. Gray and Gio Wiederhold, “Unsupervised Multiresolution Segmentation for Images with Low Depth of Field,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 23, No. 1, pp. 85-90, 2001.
Yanping Du and James Z. Wang “A Scalable Integrated Region-Based Image Retrieval System,” Proceedings of the IEEE International Conference on Image Processing (ICIP), Thessaloniki, Greece, pp. 22-25, IEEE, Oct. 2001.
Yixin Chen, James Z. Wang and Jia Li, “FIRM: Fuzzily Integrated Region Matching for Content-Based Image Retrieval,” Proceedings of the ACM Multimedia Conference, pp. 543-545, Ottawa, Canada, ACM, Sep. 2001.
James Z. Wang, “Security Filtering of Medical Images Using OCR,” Digital Libraries: Advanced Methods and Technologies, Digital Collections, Proceedings of the Third All-Russian Scientific Conference, pp. 118-122, Petrozavodsk, Russia, Sep. 2001.
James Z. Wang and Yanping Du, “RF IPF: A Weighting Scheme for Multimedia Information Retrieval,” Proceedings of the IEEE International Conference on Image Analysis and Processing (ICIAP), pp. 380-385, Palermo, Italy, IEEE, 2001.
James Z. Wang and Yanping Du, “Scalable Integrated Region-Based Image Retrieval Using IRM and Statistical Clustering,” Proceedings of the ACM and IEEE Joint Conference on Digital Libraries, pp. 268-277, Roanoke, VA, ACM, Jun. 2001.
Yixin Chen and James Z. Wang, “Looking Beyond Region Boundaries: Region-Based Image Retrieval Using Fuzzy Feature Matching,” Proceedings of the Multimedia Content-Based Indexing and Retrieval Workshop, INRIA Rocquencourt, France, pp. 37-40, Sep. 2001.
James Z. Wang, Jia Li and Gio Wiederhold, “SIMPLIcity: Semantics-Sensitive Integrated Matching for Picture Libraries,” Lecture Notes in Computer Science, Advances in visual information systems, Lyon, France, Robert Laurini (ed.), vol. 1929, pp. 360-371, Springer-Verlag, Nov. 2000.
James Z. Wang, “Pathfinder: Multiresolution Region-Based Searching of Pathology Images Using IRM,” Journal of the American Medical Informatics Association, Proceedings of the AMIA Annual Symposium, vol. 2000 symposium suppl., pp. 883-887, Los Angeles, CA, Nov. 2000.
James Z. Wang, “SIMPLIcity: A Region-Based Image Retrieval System for Picture Libraries and Biomedical Image Databases,” Proceedings of the ACM Multimedia Conference, pp. 483-484, Los Angeles, CA, ACM, Oct. 2000.
James Z. Wang, “Region-Based Retrieval of Biomedical Images,” Proceedings of the ACM Multimedia Conference, pp. 511-512, Los Angeles, CA, ACM, Oct. 2000.
Jia Li, James Z. Wang and Gio Wiederhold, “IRM: Integrated Region Matching for Image Retrieval,” Proceedings of the ACM Multimedia Conference, pp. 147-156, Los Angeles, CA, ACM, Oct. 2000.
Jia Li, James Z. Wang and Gio Wiederhold, “Classification of Textured and Non-Textured Images Using Region Segmentation,” Proceedings of the IEEE International Conference on Image Processing (ICIP), Vancouver, BC, Canada, pp. 754-757, IEEE, Sep. 2000.
Li Jia
Wang James
Gifford Krass Sprinkle Anderson & Citkowski P.C.
Patel Kanjibhai
The Penn State Research Foundation
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