User interface for viewing clusters of images

Patent Citations (61)

Non-Patent Literature (82)

• Liu, Hao; Xie, King; Tang, Xiaoou; Li, Zhi-Wei; Ma, Wei-Ying, Effective Web Browsing of Web Image Search Results, Oct. 15-16, 2004, MIR '04.Examiner
• Schwartz, Steve, Visual Quick Project Guide: Organizing and Editing Your Photos with Picasa, May 10, 2005, Chapter 4.Examiner
• Xiaofei He, Wei-Ying Ma, and Hongjiang Zhang, Imagerank : spectral techniques for structural analysis of image database, Jul. 6-9, 2003, Multimedia and Expo, 2003. ICME '03. Proceedings. 2003 International Conference, vol. 1, pp. 1-25-1-28.Examiner
• Deng Cai1 Xiaofei He2 Zhiwei Li Wei-Ying Ma and Ji-Rong Wen, Hierarchical Clustering of WWW image Search Results Using Visual, Textual and Link Information, Oct. 10-16, 2004, New York, New York, USA. Copyright 2004 ACM.Examiner
• U.S. Appl. No. 11/337,825, filed Jan. 23, 2006, Jing et al.Applicant
• Brin, Sergey and Lawrence Page, “The anatomy of a large-scale hypertextual (Web) search engine,” In the 7th International World Wide Web Conference, 1998.Applicant
• Broder, Andrei, “A taxonomy of web search,” SIGIR Forum 36(2), 2002, 8 pages.Applicant
• Cai, Deng et al., “Hierarchical Clustering of WWW Image Search Results Using Visual, Textual and Link Analysis,” MM'04, Oct. 10-16, 2004 New York, New York, © 2004 ACM.Applicant
• Chang, Shi Kuo and Arding Hsu, “Image Information Systems: Where do we go from here?,” IEEE Transactions on Knowledge and Data Engineering, vol. 4, No. 5, Oct. 1992, pp. 431-442.Applicant
• Chen, Hao and Susan Dumais, “Bringing Order to the Web: Automatically Categorizing Search Results,” Proceedings of CHI'00, Human Factors in Computing Systems, pp. 145-152.Applicant
• Dumais, Susan, Edward Cutrell and Hao Chen, “Optimizing Search by Showing Results In Context,” SIGCHI'01, Mar. 31-Apr. 4, 2001, Seattle, Washington, © 2001 ACM.Applicant
• Frankel, Charles, Michael J. Swain and Vassilis Athitsos, “WebSeer: An Image Search Engine for the World Wide Web,” Aug. 1, 1996, Technical Report 96-14, Computer Science Department, The University of Chicago.Applicant
• Glance, Natalie S., “Community Search Assistant,” IUI'01, Jan. 14-17, 2001, Santa Fe, New Mexico, © 2001 ACM, pp. 91-96.Applicant
• Google image search, http://images.google.com, [last accessed Jun. 7, 2007].Applicant
• Google web search, http://www.google.com, [last accessed Jun. 7, 2007].Applicant
• Hearst, Marti A. and Jan O. Pedersen, “Reexamining the Cluster Hypothesis: Scatter/Gather on Retrieval Results,” In the Proceedings of ACM SIGIR, Aug. 1996, Zurich.Applicant
• Huang, Jing et al., “Image Indexing using color correlograms,” In Proc. IEEE Comp. Soc. Conf. Comp. Vis. and Patt. Rec., 1997, pp. 762-768.Applicant
• Jansen, Major Bernard J. et al., “Real life information retrieval: a study of user queries on the Web,” ACM SIGIR Forum 1998, vol. 32, No. 1, pp. 5-17.Applicant
• Lempel, Ronnya and Aya Soffer, “PicASHOW: Pictorial Authority Search by Hyperlinks on the Web,” Proceedings of the 10th International WWW Conference, Hong Kong, China, 2001, ACM, pp. 438-448.Applicant
• Liu, Hao et al., “Effective Browsing of Web Image Search Results,” MIR'04, Oct. 15-16, 2004, New York, New York, © 2004 ACM.Applicant
• Luo, Bo, Xiaogang Wang and Xiaoou Tang, “A World Wide Web Based Image Search Engine Using Text and Image Content Features,” Internet Imaging IV, Proceedings of SPIE- IS&T, Electronic Imaging, SPIE, vol. 5018, 2003, © 2003 SPIE-IS&T, pp. 123-130.Applicant
• MSRA clustering search, http://rwsm.directtaps.net/, [last accessed Jun. 7, 2007].Applicant
• Photosig, http://www.photosig.com, [last accessed Aug. 17, 2006].Applicant
• Picsearch image search, http://www.picsearch.com, [last accessed Jan. 5, 2006].Applicant
• Rui, Yong and Thomas S. Huang, “Image Retrieval: Current Techniques, Promising Directions and Open Issues”, Journal of Visual Communication and Image Representation, vol. 10, 39-62, Mar. 1999, © 1999 by Academic Press.Applicant
• Sclaroff, Stan, Leonid Taycher and Marco Lacascia, “ImageRover: A Content-Based Image Browser for the World Wide Web,” In IEEE Workshop on Content-based Access of Image and Video Libraries, San Juan, Puerto Rico, Jun. 1997, pp. 2-9.Applicant
• Shen, Heng Tao et al., “Giving Meanings to WWW Images,” Proceedings of ACM Multimedia 2000, Los Angeles, CA, pp. 39-47, ©ACM 2000.Applicant
• Smeulders, Arnold W.M. et al., “Content-Based Image Retrieval at the End of the Early Years,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 22, No. 12, Dec. 2000, pp. 1349-1380, ©2000 IEEE.Applicant
• Smith, John R. and Shih-Fu Chang, “Visually Searching the Web for Content,” IEEE Multimedia, 1997, pp. 12-20, ©1997 IEEE.Applicant
• Teevan, Jaime et al., “The Perfect Search Engine Is Not Enough: A Study of Orienteering Behavior in Directed Search,” CHI 2004, Apr. 24-29, Vienna, Austria, , pp. 415-422.Applicant
• Vivisimo clustering search, http://vivisimo.com, [last accessed Jun. 7, 2007].Applicant
• Wang, Xin-Jing et al., “Grouping Web Image Search Result,” MM'04, Oct. 10-16, 2004, New York, New York, pp. 436-439, © 2004 ACM.Applicant
• White, David A. and Ramesh Jain, “Similarity Indexing: Algorithms and Performance,” 2 / SPIE, Feb. 1-2, 1996, San Jose, California, vol. 2670, pp. 63-73, © 1996 The Society of Photo-Optical Instrumentation Engineers.Applicant
• Woodruff, Allison et al., “Using Thumbnails to Search the Web,” Proceedings of SIGCHI, Mar. 31-Apr. 4, 2001, Seattle, Washington, pp. 198-205, © 2001 ACM.Applicant
• Yahoo Homepage search, http://www.yahoo.com/, [last accessed Jun. 7, 2007].Applicant
• Yahoo image search, http://images.search.yahoo.com/, [last accessed Jun. 7, 2007].Applicant
• Zamir, Oren and Oren Etzioni, “Web Document Clustering: A Feasibility Demonstration,” In Proceedings of SIGIR'98, Melbourne, Australia, pp. 46-54, © 1998 ACM.Applicant
• Zeng, H.J. et al, “Learning to Cluster Web Search Results,” SIGIR'04, Jul. 25-29, 2004.Applicant
• Sheffield, South Yorkshire, UK, ©2004 ACM.Applicant
• Zhang, L. et al., “Enjoy High Quality Photos in Vertical Image Search Engine,” Submitted to the SIGCHI 2006 Conference on Human Factors in Computing Systems.Applicant
• Altavista image, http://www.altavista.com/images, one page [last accessed Jul. 14, 2006].Applicant
• Chau, Michael et al., “Personalized Spiders for Web Search and Analysis,” JCDL'01, Jun. 24-28, 2001, Roanoke, Virginia, © 2001, ACM.Applicant
• Chen, Zheng et al., “iFind: A Web Image Search Engine,” In Proc. ACM SIGIR, 2001, one page.Applicant
• Citeseer, Scientific Literature Digital Library, http://citeseer.ist.psu.edu, one page [last accessed Jul. 14, 2006].Applicant
• Ditto, http://ditto.com/, one page [last accessed Jul. 14, 2006].Applicant
• Froogle, Google product search, http://froogle.google.com, one page [last accessed Jul. 14, 2005].Applicant
• Google Maps, Google local search, http://local.google.com/, one page [last accessed Jul. 14, 2006].Applicant
• GoogleNews, Google news search, http://news.google.com, 4 pages [last accessed Jul. 14, 2006].Applicant
• GoogleVideo, Google video search, http://video.google.com, one page [last accessed Jul. 14, 2006].Applicant
• Halkidi, Maria et al., “THESUS: Organizing Web document collections based on link semantics,” The VLDB Journal (2003) / Digital Object Identifier, ©Springer-Verlag 2003, pp. 1-13.Applicant
• Han, Eui-Hong et al., “Intelligent Metasearch Engine for Knowledge Management”, CIKM'03 Nov. 2003, pp. 492-495, ACM, New Orleans, Louisiana.Applicant
• Huang, Xiaodi and Wei Lai, “Force-Transfer: A New Approach to Removing Overlapping Nodes in Graph Layout,” In Proc. The 25th Australasian Computer Science Conference 2003, Conferences in Research and Practice in Information Technology, vol. 16, ©2003 Australian Computer Society, 10 pages.Applicant
• IMDB, Formula for calculating the top rated 250 titles in imdb, http://www.imdb.com/chart/top, 8 pages [last accessed Jul. 14, 2006].Applicant
• Krishnapuram, Raghu et al., “Low-Complexity Fuzzy Relational Clustering Algorithms for Web Mining,” Aug. 2001, IEEE, vol. 9, Issue 4, pp. 595-607.Applicant
• Kummamuru, Krishna, et al., “A Hierarchical Monothetic Document Clustering Algorithm for Summarization and Browsing Search Results”, WWW 2004, May 2004, pp. 658-665, ACM, New York, NY.Applicant
• Li, Zhiwei et al., “Grouping WWW Image Search Results by Novel Inhomogeneous Clustering Method,” Proceedings of the 11th International Multimedia Modelling Conference (MMM '05), © 2005 IEEE, 7 pages.Applicant
• Liu, Bing et al. “Mining Topic-Specific Concepts and Definitions on the Web,” WWW 2003, May 20-24, 2003, Budapest, Hungary, ACM.Applicant
• Mana-Lopez, Manuel et al., “Multidocument Summarization: Added Value to Clustering in Interactive Retrieval, ACM Transactions on Information Systems”, Apr. 2004, pp. 215-241, vol. 22 No. 2. ACM.Applicant
• Mukherjea, Sougata, Kyoji Hirata and Yoshinori Hara, “Using Clustering and Visualization for Refining the Results of a WWW Image Search Engine,” NPIV 98, Bethesda, Maryland, ©ACM 2000, pp. 29-35.Applicant
• Nie, Zaiqing et al., “Object-Level Ranking: Bringing Order to Web Objects,” WWW 2005, May 10-14, 2005, Chiba, Japan, ACM.Applicant
• Nie, Zaiqing et al., “Object-level Web Information Retrieval,” Technical Report of Microsoft Research, MSR-TR-2005-11, 2005, 8 pages.Applicant
• Nie, Zaiqing, Yuanzhi Zhang, Ji-Rong Wen and Wei-Ying Ma, “Object-Level Ranking: Bringing Order to Web Objects,” WWW 2005, Chiba, Japan, ACM 2005, 8 pages.Applicant
• Ong, Hwee-Leng et al., “FOCI: Flexible Organizer for Competitive Intelligence,” Proceedings of the 10th International Conference on Information and Knowledge Management, Oct. 5-10, 2001, Atlanta, Georgia, http://www.ntu.edu.sg/home/asahtan/Papers/foci—itwp01.pdf, [last accessed Jan. 3, 2008].Applicant
• Page, L. et al., “The PageRank Citation Ranking: Bringing Order to the Web,” Jan. 29, 1998, Stanford University Technical Report, pp. 1-17.Applicant
• Roussinov, Dmitir et al. “Visualizing Internet Search Results with Adaptive Self-Organizing Maps,” 1999, http://www.public.asu.edu/˜droussi/sigir99/demo.htm, [last accessed Dec. 7, 2007].Applicant
• Sarkar, Manojit and Marc H. Brown, “Graphical Fisheye Views,” Communications of the ACM, Dec. 1994, vol. 37, No. 12, ®ACM, pp. 73-84.Applicant
• Savakis, Andreas E., Stephen P. Etz and Alexander C. Loui, “Evaluation of image appeal in consumer photography,” In Proceedings SPIE Human Vision and Electronic Imaging V, Jan. 2000, pp. 1-10.Applicant
• Scholar, Google scholar paper search, http://Scholar.google.com, one page [last accessed Jul. 14, 2006].Applicant
• Sclaroff, Stan, Marco La Cascia and Saratendu Sethi, “Unifying Textual and Visual Cues for Content-Based Image Retrieval on the World Wide Web,” Computer Vision and Image Understanding, Vo. 75, Nos. 1/2, Jul./Aug. 1999, © 1999 by Academic Press, pp. 86-98.Applicant
• Smith, John R. and Shih-Fu Chang, “Visually Searching the Web for Content,” IEEE Multimedia, July-September, vol. 4, No. 3, 1997, © 1997 IEEE, pp. 12-20.Applicant
• Sullivan, Danny, “Hitwise Search Engine Ratings,” Search Engine Watch, www.searchenginewatch.com, Aug. 23, 2005, Incisive Interactive Marketing LLC, 2005, 3 pages.Applicant
• Susstrunk, Sabine and Stefan Winkler, “Color Image Quality on the Internet,” In IS&T/SPIE Electronic Imaging 2004: Internet Imaging V, vol. 5304, 2004, p. 118-131.Applicant
• Tong, Hanghang et al., “Classification of Digital Photos Taken by Photographers or Home Users,” In Proceedings of Pacific-Rim Conference on Multimedia (PCM), 2004, pp. 198-205.Applicant
• Toyama, Kentaro et al., “Geographic Location Tags on Digital Images,” MM'03, Nov. 2-8, 2003, Berkeley, California, © 2003 ACM.Applicant
• Wang, Bin et al., “Large-Scale Duplicate Detection for Web Image Search,” 4 pages.Applicant
• Wang, Yitong et al., “Evaluating Contents-Link Coupled Web Page Clustering for Web Search Results”, CIKM'02, Nov. 2002, pp. 499-506, ACM, McLean, VA.Applicant
• Wu, Yi-Fang et al., “Finding Mor Useful Information Faster from Web Search Results”, CIKM'03, Nov. 2003, pp. 568-571, ACM, New Orleans, Louisiana.Applicant
• Xi, Wensi et al., Link Fusion: A Unified Link Analysis Framework for Multi-Type Interrelated Data Objects, WWW 2004, New York, ©ACM, pp. 319-327.Applicant
• Yee, Ka-Ping et al., “Faceted Metadata for Image Search and Browsing,” In Proc. CHI 2003, Florida, © 2003 ACM, 8 pages.Applicant
• International Search Report and Written Opinion; International Patent No. PCT/US2007/079983; Filed: Sep. 28, 2007; Applicant: Microsoft Corporation; Mailed on Jan. 16, 2008.Applicant
• Ferragina et al., “The Anatomy of a Clustering Engine for Web-page Snippets,” Jan. 28, 2004, University of Pisa, Tech. Report: TR-04-05.Applicant
• http://www.flickr.com, Archived on http://www.archive.org on Feb. 18, 2005, pp. 1-5, available on http://web.archive.org/web/20050218030404/http://flickr.com/.Applicant