Systems and methods for enhanced image adaptation

Image analysis – Image segmentation

Reexamination Certificate

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C382S298000

Reexamination Certificate

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10371125

ABSTRACT:
Systems and methods for adapting images for substantially optimal presentation by heterogeneous client display sizes are described. In one aspect, an image is modeled with respect to multiple visual attentions to generate respective attention objects for each of the visual attentions. For each of one or more image adaptation schemes, an objective measure of information fidelity (IF) is determined for a region R of the image. The objective measures are determined as a function of a resource constraint of the display device and as a function of a weighted sum of IF of each attention object in the region R. A substantially optimal adaptation scheme is then selected as a function of the calculated objective measures. The image is then adapted via the selected substantially optimal adaptation scheme to generate an adapted image as a function of at least the target area of the client display.

REFERENCES:
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: 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: 5911008 (1999-06-01), Niikura et al.
patent: 5920360 (1999-07-01), Coleman, Jr.
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: 6232974 (2001-05-01), Horvitz et al.
patent: 6282317 (2001-08-01), Luo et al.
patent: 6292589 (2001-09-01), Chow et al.
patent: 6408128 (2002-06-01), Abecassis
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: 6643665 (2003-11-01), Kimbell et al.
patent: 6670963 (2003-12-01), Osberger
patent: 6714909 (2004-03-01), Gibbon et al.
patent: 6792144 (2004-09-01), Yan 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: 2006/0239644 (2006-10-01), Barbieri
patent: 0597450 (1994-05-01), None
patent: 1 168 840 (2002-01-01), None
patent: 1 213 915 (2002-06-01), None
patent: 2 356 080 (2001-05-01), None
patent: 5-113439 (1993-05-01), None
Goncalves, Towards a Learning Model for Feature Integration in Attention Control, Aug. 20-22, 2001, International Conference on Multisensor Fusion and Integration for Intelligent Systems,pp. 311-316.
Osberger et al., An Automatic Image Quality Assessment Technique Incorporating Higher Level Perceptual Factors, Oct. 4-7, 1998, International Conference on Image Processing,vol. 3, pp. 414-418.
Alexander, et al., “Informedia: News-on-Demand Multimedia Information Acquisition and Retrieval”, 1997, pp. 1-21.
Chen, et al., “A Visual Attention Model for Adapting Images on Small Displays”, Microsoft Technical Report MSR-TR-2002-125, Nov. 4, 2002, 22 pages.
DeMenthon, et al., “Video Summarization by Curve Simplification”, ACM, 1998, pp. 211-218.
Gong, et al., “Creating Motion Video Summaries with Partial Audio-Visual Alignment”, IEEE, 2002, pp. 285-288.
“Advanced Digital Video Storage and On-line Retrieval System”, Advisor Project, Jun. 30, 2002, retrieved from the Internet: http://advisor.matrasi-tis.fr/DUP—workshop—sheet.pdf.
Zhang, et al., “A Hierarchical Organization Scheme for Video Data” Pattern Recognition, Elsevier, Kidlington, GB, vol. 36 No. 11, Nov. 2002, pp. 2381-2387.
Hargrove, et al., “Logo Detection in Digital Video” Math 100 Mar. 6, 2001 http://toonarchive.com/logo-detection/ 9 pages.
Wolfe, et al., “Deplying Visual Attention: The Guided Search Model” Al and the Eye chapter 4 1990 pp. 79-103.
Fan, et al., “Visual Attention Based Image Browsing on Mobile Devices” 4 pages.
Ahmad, Subutai; “VISIT: A Neural Model of Covert Visual Attention” Advances in Neural Information Processing Systems, 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 Systems, v. 22, No. 3-4, Dec. 1997, pp. 329-344.
Cherry, Steven M.; “Pesky Home Networks Trouble cable Behemoths” IEEE Spectrum, Apr. 2002, pp. 60-61.
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.
Gamaz et al.; “Robust scene-change detection in MPEG compressed domain” Electrical & Computer Engineering, 1998, pp. 95-99.
Gu, et al.; “Dissolve Detection in MPEG Compressed Video” IEEE, 1997, pp. 1692-1696.
Held, Gibert; “Focus on Agere System's Orinococ PC Card” International Journal of Network Management, Jan. 2002, pp. 187-193.
http://www.fatalfx.com
omad/ “NOMAD (No More Advertising)” Feb. 17, 2003, 4 pages.
Divakaran et al.; “Video Summarization Using Descriptors of Motion Activity: A Motion Activity Based Approach to Key-Frame Extraction from Video Shots” Journal of Electronic Imaging, Oct. 2001, vol. 10 No. 4, pp. 909-916.
Heng et al.; “Post Shot Boundary Detection Technique: Flashlight Scene Determination” University of Western Australia, 1999, pp. 447-450.
Jha, Uma S.; “Wireless Landscape-Need for Seamless Connectivity” Wireless Personal Communications 2002 pp. 275-283.
Jing et al.; “An Effective Region-Based image Retieval Framework” From ACM Multimedia, 2002, 28 pages.
Lelescu et al.; “Real-time Scene Change Detection on Compressed Multimedia Bitstream Based on Statistical Sequential Analysis” IEEE, 2000, pp. 1141-1144.
Li et al.; “Statistical Learning of Multi-View Face Detection” Proceedings of ECCV, 2002, 25 pages.
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.
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.
Ma et al.; “A User Attention Model for Video Summarization” Proceedings of ICIP, 2002.
Milanese R. et al.; “Attentive Mechanisms for Dynamic and Static Scene Analysis” Optical Engineering, v34 No. 8, Aug. 1995, pp. 2428-2434.
Niebur, E. et al.; “Computational Architectures for Attention” The Attentive Brain, Chapter 9, 1998, pp. 163-186.
O'Toole; “An MPEG-1 Shot Boundary Detector Using XIL Colour Histograms” Dublin City University, 1998, pp. 1-7.
Sadlier, David A.; “Automatic TV Advertisement Detection from MPEG Bitstream” Centre for Digital Video Processing/Research Institute for Network & Communication Eng

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