Image analysis – Pattern recognition – Feature extraction
Reexamination Certificate
2006-04-04
2010-12-28
Werner, Brian P (Department: 2624)
Image analysis
Pattern recognition
Feature extraction
C382S154000, C382S305000
Reexamination Certificate
active
07860317
ABSTRACT:
A method and system for searching for content relating to a target or query image by identifying duplicate images with associated content is provided. An image search system identifies visual parts of objects within the target image based on analysis of two or more versions of the target image. The image search system identifies visual parts based on analysis of the versions. The image search system then identifies images of an image database that have visual parts that are similar to the visual parts of the target image. The image search system may rank the identified images based on their likelihood of being duplicates of the target image and provide their associated content as the search result ordered according to the ranking of the images.
REFERENCES:
patent: 5852823 (1998-12-01), De Bonet
patent: 5873080 (1999-02-01), Coden et al.
patent: 6711293 (2004-03-01), Lowe
patent: 6748398 (2004-06-01), Zhang et al.
patent: 7457825 (2008-11-01), Li et al.
patent: 2002/0168117 (2002-11-01), Lee et al.
patent: 2004/0022442 (2004-02-01), Kim
patent: 2005/0018904 (2005-01-01), Davis
patent: 2006/0218192 (2006-09-01), Gopalakrishnan
patent: 2009/0041366 (2009-02-01), Li et al.
Lowe, D.G. (Nov. 2004) “Distinctive image features from scale-invariant keypoints.” Int'l Journal of Comptuer Vision, vol. 60 No. 2, pp. 91-110.
Sivic et al. (Sep. 2004) “Efficient object retrieval from videos.” Proc. 12thEuropean Signal Processing Conference, pp. 1737-1740.
Google, Inc. (Aug. 2001) “Google Frequently Asked Questions: Image Search.” http://images.google.com/help/faq—images.html as archived by The Internet Archive http://www.archive.org/.
Lowe, D.G. (Dec. 2001) “Local feature view clustering for 3d object recognition.” Proc. 2001 IEEECS Conf. on Computer Vision and Pattern Recognition, vol. 1 pp. 682-688.
Carneiro et al. (Jul. 2004) “Flexible spatial models for grouping local image features.” Proc. 2004 IEEECS Conf. on Computer Vision and Pattern Recognition, vol. 2 pp. 747-754.
Se et al. (May 2001) “Vision-based mobile robot localization and mapping using scale-invariant features.” Proc. 2001 IEEE Int'l Conf. on Robotics and Automation, vol. 2 pp. 2051-2058.
Brown et al. (2002) “Invariant features from interest point groups.” Proc. 2002 British Machine Vision Conference, pp. 656-665.
Smith, John R. and Shih-Fu Chang, “Visually Searching the Web for Content,” IEEE Multimedia, vol. 4, Issue 3, Jul. 1997, pp. 12-20.
Muneesawang, Paisarn et al., “Audio Visual Cues for Video Indexing and Retrieval,” Advances in multimedia information processing, ACM 2004, Oct. 29, 2004, pp. 642-649.
Srihari, Rohini K. et al., “Intelligent Indexing and Semantic Retireval of Multimodal Documents,” information Retrieval, vol. 2, 2000, pp. 245-275.
Goh, King-Shy et al., “Multimodal Concept-Dependent Active Learning for Image Retrieval,” MM'04, Oct. 10-16, 2004, New York, New York, pp. 564-571.
Zhang et al., “Detecting Image Near-Duplicate by Stochastic Attribute Relational Graph Matching with Learning,” Proceedings of ACM International Conference on Multimedia, New York, Oct. 10-16, 2004.
Flickner, Myron, et al., “Query by Image and Video Content: The QBIC System,” IEEE Computer Special Issue on Content-Based Retrieval, vol. 28, No. 9, Sep. 1995 (10 pages).
Jaimes, Alejandro, et al., “Detection of Non-Identical Duplicate Consumer Photographs,” in Proceedings of the Fourth Pacific Rim Conference on Multimedia, vol. 1, Singapore, Dec. 2003 (4 pages).
Ke, Yan, et al., “Efficient Near-Duplicate Detection and Sub-image Retrieval,” In Proc. of ACM Multimedia, Nov. 2004 (7 pages).
Sivic, Josef and Zisserman, Andrew, “Video Google: A Text Retrieval Approach to Object Matching in Videos,” Proceedings of the Ninth IEEE International Conference on Computer Vision, Oct. 2003 (8 pages).
Yeh, Tom et al., “Searching the Web with Mobile Images for Location Recognition,” Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '04), 2004 (6 pages).
Yeh, Tom, et al., “A Picture is Worth a Thousand Keywords: Image-Based Object Search of a Mobile Platform,” Proceedings of CHI 2005, Portland, Apr. 2004 (4 pages).
Fritzke, Bernd, “Growing Cell Structures—A Self-organizing Network for Unsupervised and Supervised Learning,” TR-93-026, May 1993, International Computer Science Institute.
Lowe, David G., “Distinctive Image Features from Scale-Invariant Keypoints,” Jan. 5, 2004, International Journal of Computer Vision, 2004.
Fan Xin
Ma Wei-Ying
Xie Xing
Zhou Yinghua
Drennan Barry
Microsoft Corporation
Perkins Coie LLP
Werner Brian P
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