Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2007-10-16
2007-10-16
Truong, Cam Y T (Department: 2162)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C707S793000, C707S793000, C707S793000, C707S793000
Reexamination Certificate
active
09998092
ABSTRACT:
The described arrangements and procedures provide an intelligent media agent to autonomously collect semantic multimedia data text descriptions on behalf of a user whenever and wherever the user accesses media content. The media agent analyzes these semantic multimedia data text descriptions in view of user behavior patterns and actions to assist the user in identifying multimedia content and related information that is appropriate to the context within which the user is operating or working. For instance, the media agent detects insertion of text and analyzes the inserted text. Based on the analysis, the agent predicts whether a user intends to access media content. If so, the agent retrieves information corresponding to media content from a media content source and presents the information to a user as a suggestion.
REFERENCES:
patent: 5442778 (1995-08-01), Pedersen et al.
patent: 5619709 (1997-04-01), Caid et al.
patent: 5682539 (1997-10-01), Conrad et al.
patent: 5734886 (1998-03-01), Grosse et al.
patent: 5751286 (1998-05-01), Barber et al.
patent: 5802361 (1998-09-01), Wang et al.
patent: 5809498 (1998-09-01), Lopresti et al.
patent: 5819273 (1998-10-01), Vora et al.
patent: 5855015 (1998-12-01), Shoham
patent: 5873056 (1999-02-01), Liddy et al.
patent: 5873076 (1999-02-01), Barr et al.
patent: 5889506 (1999-03-01), Lopresti et al.
patent: 5893095 (1999-04-01), Jain et al.
patent: 5899999 (1999-05-01), De Bonet
patent: 5963940 (1999-10-01), Liddy et al.
patent: 5974409 (1999-10-01), Sanu et al.
patent: 5983237 (1999-11-01), Jain et al.
patent: 5987457 (1999-11-01), Ballard
patent: 5999942 (1999-12-01), Talati
patent: 6020955 (2000-02-01), Messina
patent: 6038560 (2000-03-01), Wical
patent: 6094652 (2000-07-01), Faisal
patent: 6134532 (2000-10-01), Lazarus et al.
patent: 6169986 (2001-01-01), Bowman et al.
patent: 6175829 (2001-01-01), Li et al.
patent: 6189002 (2001-02-01), Roitblat
patent: 6282549 (2001-08-01), Hoffert et al.
patent: 6304864 (2001-10-01), Liddy et al.
patent: 6311194 (2001-10-01), Sheth et al.
patent: 6345274 (2002-02-01), Zhu et al.
patent: 6347313 (2002-02-01), Ma et al.
patent: 6366908 (2002-04-01), Chong et al.
patent: 6382218 (2002-05-01), Cheng
patent: 6404925 (2002-06-01), Foote et al.
patent: 6480843 (2002-11-01), Li
patent: 6510406 (2003-01-01), Marchisio
patent: 6523026 (2003-02-01), Gillis
patent: 6553385 (2003-04-01), Johnson et al.
patent: 6564202 (2003-05-01), Schuetze et al.
patent: 6567797 (2003-05-01), Schuetze et al.
patent: 6675159 (2004-01-01), Lin et al.
patent: 6687696 (2004-02-01), Hofmann et al.
patent: 6728706 (2004-04-01), Aggarwal et al.
patent: 6760714 (2004-07-01), Caid et al.
patent: 6766316 (2004-07-01), Caudill et al.
patent: 6766320 (2004-07-01), Wang et al.
patent: 6791579 (2004-09-01), Markel
patent: 6832218 (2004-12-01), Emens et al.
patent: 6859802 (2005-02-01), Rui
patent: 6877001 (2005-04-01), Wolf et al.
patent: 6895552 (2005-05-01), Balabanovic et al.
patent: 7089237 (2006-08-01), Turnbull et al.
patent: 7089309 (2006-08-01), Ramaley et al.
patent: 7099869 (2006-08-01), Forstall et al.
patent: 2002/0038299 (2002-03-01), Zemik et al.
patent: 2002/0052933 (2002-05-01), Leonhard et al.
patent: 2002/0073088 (2002-06-01), Beckman et al.
patent: 2002/0194200 (2002-12-01), Flank et al.
patent: 2003/0028512 (2003-02-01), Stensmo
patent: 2003/0050916 (2003-03-01), Ortega et al.
patent: 2003/0229537 (2003-12-01), Dunning et al.
patent: 2004/0111408 (2004-06-01), Caudill et al.
R. Agrawal, H. Mannila, R. Srikant, H. Toivonen, A.I. Verkamo, “Fast Discovery of Association Rules,” in Advances in Knowledge Discovery and Data Mining, Fayyad UM, Piatetsky-Shapiro G, Smyth P & Uthurusamy R (eds), AAAI Press, Menlo Park, California, (1994), pp. 307-328.
J. Allen, “Natural Language Understanding,” University of Rochester, 1994, pp. 23-25.
D. Bikel, S. Miller, R. Schwartz, R Weischedel, “Nymble: A High-Performance Learning Name-Finder,” In: Proc. of the Fifth Conference on Applied Natural Language Processing, Association for Computational Linguistics, 1997, pp. 194-201.
M. Flickner et al., “Query by Image and Video Content: The QBIC System,” IEEE Computer, Sep. 1995, pp. 23-32.
D. Harman, E. Fox, R. Baeza-Yates, W. Lee, “Inverted Files,” In: Information Retrieval: Data Structures and Algorithms, Frakes WB and Baeza-Yates R (eds), 1992, Chapter 3, Prentice Hall, NY.
E. Horvitz et al., “The Lumiere Project: Bayesian User Modeling for Inferring the Goals and Needs of Software Users,” In: Proc. of the 14th Conference on Uncertainty in Artificial Intelligence, 1998,.
T. Joachims, “A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization,” In Proc. of the Fourteenth International Conference on Machine Learning, Nashville, TN, Jul. 1997, pp. 143-151. Morgan Kaufmann Publisher, San Francisco, CA.
J-H Kim and P.C. Woodland, “A Rule-Based Named Entity Recognition System for Speech Input,” In: Proc. of the Sixth International Conference on Spoken Language Processing, 2000, vol. 1, pp. 528-531.
Y. Lu et al., “A Unified Framework for Semantics and Feature Based Relevance Feedback in Image Retrieval Systems,” In: Proc. of the 8th ACM International Conference on Multimedia, 2000, pp. 31-38.
Tm Mitchell, “Machine Learning,” 1997, pp. 176-183, McGraw-Hill.
M.F. Porter, “An Algorithm for Suffix Stripping,” Program, vol. 14, No. 3, pp. 130-137, Jul. 1980.
C.J. van Rijsbergen, “Information Retrieval,” Butterworths, Department of Computing Science, University of Glasgow, 1979.
H.T. Shen, B. C. Ooi, K-L Tan, “Giving Meanings to WWW Images,” In: Proc. of the 8th ACM International Conference on Multimedia, 2000, pp. 39-48.
Z. Chen et al., “Web Mining for Web Image Retrieval,” Journal of the American Society for Information Science and Technology, 52(10), pp. 831-839, Aug. 2001.
Y. Gong et al., “An Image Database System with Content Capturing and Fast Image Indexing Abilities,” In: Proceedings of IEEE Int. Conf. on Multimedia Computing and Systems, 1994, pp. 121-130.
A. Ono, “A Flexible Content-Based Image Retrieval System with Combined Scene Description Keyword,” In: Proceedings of IEEE Int. Conf. on Multimedia Computing and Systems, 1996, pp. 201-208.
Zhang et al.; “A Scheme of Visual Feature Based Image Indexing” To appear in SPIE Conference on Storage and Retrieval for Image and Video Databases, San Jose, CA; Feb. 1995, pp. 1-12.
Lu, et al., “A Unified Framework for Semantics and Feature Based Relevance Feedback in Image Retrieval Systems” In: Proc. of the 8th ACM International Conference on Multimedia 2000 pp. 31-38.
Chen Zheng
Liu Wen-Yin
Zhang Hong-Jiang
Lee & Hayes PLLC
Truong Cam Y T
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