Contrast-based image attention analysis framework

Image analysis – Color image processing

Reexamination Certificate

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C382S164000, C382S190000

Reexamination Certificate

active

07400761

ABSTRACT:
Systems and methods for image attention analysis are described. In one aspect, image attention is modeled by preprocessing an image to generate a quantized set of image blocks. A contrast-based saliency map for modeling one-to-three levels of image attention is then generated from the quantized image blocks.

REFERENCES:
patent: 5333091 (1994-07-01), Iggulden et al.
patent: 5442633 (1995-08-01), Perkins et al.
patent: 5497430 (1996-03-01), Sadovnik et al.
patent: 5530963 (1996-06-01), Moore et al.
patent: 5625877 (1997-04-01), Dunn et al.
patent: 5642294 (1997-06-01), Taniguchi et al.
patent: 5659685 (1997-08-01), Williams et al.
patent: 5710560 (1998-01-01), Cohn
patent: 5745190 (1998-04-01), Ioka
patent: 5751378 (1998-05-01), Chen et al.
patent: 5774593 (1998-06-01), Zick et al.
patent: 5778137 (1998-07-01), Nielsen et al.
patent: 5801765 (1998-09-01), Gotoh et al.
patent: 5835163 (1998-11-01), Liou et al.
patent: 5884056 (1999-03-01), Steele
patent: 5900919 (1999-05-01), Chen et al.
patent: 5901245 (1999-05-01), Warnick et al.
patent: 5911008 (1999-06-01), Niikura et al.
patent: 5920360 (1999-07-01), Coleman, Jr.
patent: 5952993 (1999-09-01), Matsuda et al.
patent: 5959697 (1999-09-01), Coleman, Jr.
patent: 5983273 (1999-11-01), White et al.
patent: 5990980 (1999-11-01), Golin
patent: 5995095 (1999-11-01), Ratakonda
patent: 6047085 (2000-04-01), Sato et al.
patent: 6100941 (2000-08-01), Dimitrova et al.
patent: 6166735 (2000-12-01), Dom et al.
patent: 6168273 (2001-01-01), Dupraz et al.
patent: 6182133 (2001-01-01), Horvitz
patent: 6232974 (2001-05-01), Horvitz et al.
patent: 6282317 (2001-08-01), Luo et al.
patent: 6292589 (2001-09-01), Chow et al.
patent: 6353824 (2002-03-01), Boguraev et al.
patent: 6408128 (2002-06-01), Abecassis
patent: 6421675 (2002-07-01), Ryan et al.
patent: 6462754 (2002-10-01), Chakraborty et al.
patent: 6466702 (2002-10-01), Atkins et al.
patent: 6473778 (2002-10-01), Gibbon
patent: 6622134 (2003-09-01), Sorkin
patent: 6643643 (2003-11-01), Lee et al.
patent: 6643665 (2003-11-01), Kimbell et al.
patent: 6658059 (2003-12-01), Iu et al.
patent: 6661468 (2003-12-01), Alten et al.
patent: 6670963 (2003-12-01), Osberger
patent: 6714909 (2004-03-01), Gibbon et al.
patent: 6773778 (2004-08-01), Onozawa et al.
patent: 6792144 (2004-09-01), Yan et al.
patent: 6807361 (2004-10-01), Girgensohn et al.
patent: 6870956 (2005-03-01), Qi et al.
patent: 6934415 (2005-08-01), Stentiford
patent: 7006091 (2006-02-01), Masera et al.
patent: 7065707 (2006-06-01), Chen et al.
patent: 7116716 (2006-10-01), Ma et al.
patent: 7248294 (2007-07-01), Slatter
patent: 2001/0023450 (2001-09-01), Chu
patent: 2002/0069218 (2002-06-01), Sull et al.
patent: 2002/0157116 (2002-10-01), Jasinschi
patent: 2002/0166123 (2002-11-01), Schrader et al.
patent: 2003/0033347 (2003-02-01), Bolle et al.
patent: 2003/0123850 (2003-07-01), Jun et al.
patent: 2003/0152363 (2003-08-01), Jeannin et al.
patent: 2003/0210886 (2003-11-01), Li et al.
patent: 2003/0237053 (2003-12-01), Chen et al.
patent: 2004/0040041 (2004-02-01), Crawford
patent: 2004/0068481 (2004-04-01), Seshadri et al.
patent: 2004/0078357 (2004-04-01), LaChapelle et al.
patent: 2004/0078382 (2004-04-01), Mercer et al.
patent: 2004/0078383 (2004-04-01), Mercer et al.
patent: 2004/0085341 (2004-05-01), Hua et al.
patent: 2004/0088726 (2004-05-01), Ma et al.
patent: 2004/0165784 (2004-08-01), Xia et al.
patent: 2004/0184776 (2004-09-01), Inoue et al.
patent: 2006/0239644 (2006-10-01), Barbleri
patent: 2007/0027754 (2007-02-01), Collins et al.
patent: 2007/0060099 (2007-03-01), Ramer et al.
patent: 0597450 (1994-05-01), None
patent: 1168840 (2002-01-01), None
patent: 1213915 (2002-06-01), None
patent: 2356080 (2001-05-01), None
patent: 20020009089 (2002-02-01), None
patent: 20040042449 (2004-05-01), None
patent: WO0028467 (2000-05-01), None
“Seeded region growing” Adams, R.; Bischof, L.; Pattern Analysis and Machine Intelligence, IEEE Transactions on vol. 16, Issue 6, Jun. 1994 pp. 641-647.
“Peer group filtering and perceptual color image quantization” Yining Deng; Kenney, C.; Moore, M.S.; Manjunath, B.S.; Circuits and Systems, 1999. ISCAS '99. Proceedings of the 1999 IEEE International Symposium on vol. 4, May 30-Jun. 2, 1999 pp. 21-24 vol. 4.
U.S. Appl. No. 10/371,125, filed Feb. 20, 2003; Inventors: Wei-Ying Ma et al., Entitled “Systems and Methods for Enhanced Image Adaptation”.
U.S. Appl. No. 10/286,053, filed Nov. 1, 2002; Inventors; Yu-Fei Ma et al., Entitled “Systems and Methods for Generating a Comprehensive User Attention Model”.
U.S. Appl. 10/286,348, filed Nov. 1, 2002; Inventors Xian-Sheng Hua et al. Entitled “Systems and Methods for Automatically Editing a Video”.
U.S. Appl. 10/285,933, filed Nov. 1, 2002; Inventors Yu-Fei Ma et al.: Entitled “Systems and Methods for Generating a Motion Attention Mode”.
http://www.fatalfx.com
omad/“NOMAD (No More Advertising)” Feb. 17, 2003; 4 pages.
Cherry, Steven M.; “Pesky Home Networks Trouble Cable Behemoths” IEEE Spectrum, Apr. 2002, pp. 60-61.
Hargrove, Thomas; “Logo Detection in Digital Video” Math 100, Mar. 6, 200, http://toonarchive.com/logo-detection/; 9 pages.
Held, Gibert; “Focus on Agere System'Orinoco PC Card” International Journal of Network Management, May/Jun. 2002, pp. 187-193.
Jha, Uma S.; “Wireless Landscape-Need for Seamless Connectivity” Wireless Personal Communications 2002 pp. 275-283.
Lienhart, R. et al.; “On the Detection and Recognition of Television Commercials” University of Mannheim, 17 pages.
Lu, Lie et al.; “A Robust Audio Classification and Segmentation Method” Microsoft Research, China, 9 pages.
Ahmad, Subutai; “Visit: A Neural Model of Covert Visual Attention” Advances in Neural Information Processing System, v. 4, 1991, pp. 420-427.
Baluja et al.; “Expectation-Based Selective Attention for Visual Monitoring and Control of a Robot Vehicle” Robotics and Autonomous System, v.22 No. 3-4, Dec. 1997, pp. 329-344.
Deng et al.; “Peer Group Filtering and Perceptual Color Image Quantization” Proceedings of IEEE International Symposium on Circuits and Systems, vol. 4, 1999, pp. 21-24.
Jing et al.; “An Effective Region-Based Image Retrieval Framework” From ACM Multimedia, 2002, 28 pages.
Li et al.; “Statistical Learning of Multi-View Face Detection” Proceedings of ECCV, 2002, 25 pages.
Milanese R. et al.; “Attentive Mechanisms for Dynamic and Static Scene Analysis” Optical Engineering, v34 No. 8, Aug. 1995, pp. 2428-2434.
Lu, Lie et al.; “Content Analysis for Audio Classification and Segmentation” IEEE Transactions on Speech and Audio Processing, vol. 10 No, 7, Oct. 2002, pp. 504-516.
Lu, Lie et al.; “Content-Based Audio Segmentation Using Support Vector Machines” IEEE, 2001, pp. 956-959.
Sadlier, David A.; “Automatic TV Advertisement Detection from MPEG Bitstream” Centre for Digital Video Processing/Research Institute for Network & Communication Eng., Dublin City University, 12 pages.
Sanchez, Juan Maria; “AudiCom: A Video Analysis System for Auditing Commercial Broadcasts” Computer Vision Center Department d'Informatica Universitat Autonoma de Barcelona, 5 pages.
Zabih, Ramin; “A Feature-Based Algorithm for Detecting and Classifying Scene Breaks” Computer Science Department, Cornell University, 16 pages.
O'Toole, Colin et al.; “Evaluation of Automatic Shot Boundary Detection on a Large Video Test Suite” School of Computer Applications & School of Electronic Engineering, Dublin City University, Glasnevin Dublin Ireland Challenge of Image Retrieval, Newcastle, 1999, pp. 1-12.
Itti et al.; “Computational Modelling of Visual Attention” Nature Reviews/Neuroscience, vol. 2, Mar. 2001, pp. 1-11.
Itti et al.; “Comparison of Feature Combination Strategies for Salincey-Based Visual Attention Syste

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