Business method and apparatus for employing induced...

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

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C707S793000, C707S793000, C707S793000, C707S793000

Reexamination Certificate

active

06993535

ABSTRACT:
This invention is a business system and method to perform categorization (classification) of multimedia items and to make business decisions based on the categorization of the item. The multimedia items are comprised of a multitude of disparate information sources, in particular, visual information and textual information. Classifiers are induced based on combining textual and visual feature vectors. Textual features are the traditional ones. Visual features include, but are not limited to, color properties of key intervals and motion properties of key intervals. The visual feature vectors are determined in such a fashion that the vectors are sparse. The text and the visual representation vectors are combined in a systematic and coherent fashion. This vector representation of a media item lends itself to well-established learning techniques and can be used for multimedia item categorization. The resulting business system, subject of this invention, can be used for many purposes. An example here are enforcement of copyright, trademark, intellectual property, parental guidance and common decency restrictions. Other uses are multimedia item classifier to determine routing of incoming items or building user profiles based on user multimedia preferences.

REFERENCES:
patent: 5151788 (1992-09-01), Blum
patent: 5343251 (1994-08-01), Nafeh
patent: 5428733 (1995-06-01), Carr
patent: 5434965 (1995-07-01), Matheny et al.
patent: 5696866 (1997-12-01), Iggulden et al.
patent: 5708477 (1998-01-01), Forbes et al.
patent: 5794178 (1998-08-01), Caid et al.
patent: 5924077 (1999-07-01), Beach et al.
patent: 5983237 (1999-11-01), Jain et al.
patent: 6055543 (2000-04-01), Christensen et al.
patent: 6055548 (2000-04-01), Comer et al.
patent: 6138130 (2000-10-01), Adler et al.
patent: 6173275 (2001-01-01), Caid et al.
patent: 6363380 (2002-03-01), Dimitrova
patent: 6611842 (2003-08-01), Brown
patent: 2002/0147782 (2002-10-01), Dimitrova et al.
patent: 2002/0161747 (2002-10-01), Li et al.
patent: 2003/0004966 (2003-01-01), Bolle et al.
patent: 2003/0033347 (2003-02-01), Bolle et al.
Keith, Jr., “Mehtod and apparatus for organizing data by overlaying a searchable database with a directory tree structure”, US Patent Application Publication, 2002, pp. 1-28.
Crivella et al., “system for utilizing audible, visual and textual data with alternative combinable multimedia forms of presenting information . . . by multiple users in different remote environments”, US Patent Application Publication, 2003, pp. 1-70.
Lecture Notes in Computer Science, 1614, D.P. Huijsmans, Arnold W.M. Smeulders (Eds.), Visual Information and Information Systems, Third International Conference, VISUAL'99 Amsterdam, The Netherlands, Jun. 1999 Proceedings; Local Color Analysis For Scene Break Detection Applied To TV Commercials Recognition, Juan Maria Sanchez, Xavier Binefa, Jordi Vitria and Petia Radeva, pp. 237-244.
WACV Proceedings of the Third IEEE Workshop on Applications of Computer Vision, Dec. 2-4, 1996; “Veggie Vision”: A Produce Recognition System, R.M. Bolle, J.H. Connell, N. Haas, R. Mohan, G. Taubin, pp. 244-251.
Finding Pirated Video Sequences on the Internet, Piotr Indyk, Giridharan Iyengar, Narayanan Shivakumar.
Video Sequence Matching, Rakesh Mohan.
Feature Based Indexing For Media Tracking, Arun Hampapur and Ruud Bolle.
On the Detection and Recognition of Television Commercials, R. Leinhart, C. Kuhmunch and W. Effelsberg, pp. 509-516.
International Conference on Pattern Recognition, Sep. 3-7, vol. 1, Computer Vision and Image Analysis, A. Sanfeliu, J.J. Villanueva, M. Vanrell, R. Alquezar, J.O. Eklundh, Y. Aloimonos; Automatic Genre Identification For Content-Based Video Categorization, Ba Tu Truong, Chitra Dorai, pp. 230-233.
Video Classification Based On HMM Using Text and Faces, Nevenka Dimitrova, Lalitha Agnihotri and Gang Wei.
Video Skimming and Characterization Through The Combination of Image and Language Understanding Techniques, Michael A. Smith and Takeo Kanade, Feb. 3, 1997, CMU-CS-97-111, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, pp. 1-11.
Intelligent Multimedia Information Retrieval, Mark. T. Maybury, AAAI Press/The MIT Press, Towards Content-Based Browsing of Broadcast News Video, Inderjeet Mani, David House, Mark Maybury, The MITRE Corporation; Morgan Green, School of Computer Science, Carnegie Mellon University, pp. 241-258.
Speech Transcript Analysis for Automatic Search, Anni R. Coden, Eric W. Brown, pp. 1-9.
Multi-Paragraph Segmentation of Expository Text, Marti A. Hearst, Computer Science Division, 571 Evans Hall, Univeristy of California, Berkeley, Berkeley, CA 94720 and Xerox Palo Alto Research Center, pp. 1-8.
An Automated Method of Finding Topic Boundaries, Jeffrey C. Reynar, Department of Computer and Information Science, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Text Segmentation by Topic, Jay M. Ponte and W. Bruce Croft, pp. 1-13.
Text Segmentation Based on Similarity Between Words, Hideki Kozima, Course in Computer Science and Information Mathematics, Graduate School, Univeristy of Electro-Communications, 1-5-1, Chofugaoka, Chofu, Tokyo 182, Japan.
Combining Multiple Knowledge Sources For Discourse Segmentation, Diane J. Litman, Rebecca J. Passonneau.
Text Segmentation Using Models, Doug Beeferman, Adam Berger, John Lafferty, School of Computer Science, Carnegie Mellon University.
Smith et al. “Video Skimming for Quick Browsing Based on Audio and Image Characterization,” CMU-CS-95-186 (1995).

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