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- e-print/arXiv
- Jun June 19, 2020
Publications
By Lynn Wilcox (Clear Search)
“Notice: FX Palo Alto Laboratory will be closing. All Research and related operations will cease as of June 30, 2020.”
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- Document Engineering
- Aug August 28, 2018
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- Hypertext 2016
- Jul July 10, 2016
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- ACM Multimedia Conference 2015
- Oct October 26, 2015
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- ACM Multimedia
- Oct October 18, 2015
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- International Journal of Multimedia Information Retrieval Special Issue on Cross-Media Analysis
- Sep September 4, 2014
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- ACM SIGIR International Workshop on Social Media Retrieval and Analysis
- Jul July 11, 2014
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- ACM Multimedia 2011
- Nov November 28, 2011
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- ACM International Conference on Multimedia Retrieval (ICMR)
- Apr April 17, 2011
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- IS&T and SPIE International Conference on Multimedia Content Access: Algorithms and Systems
- Jan January 23, 2011
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- Fuji Xerox Technical Report
- Jan January 1, 2011
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- ACM International Conference on Multimodal Interfaces
- Nov November 8, 2010
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- ACM Multimedia 2010
- Oct October 25, 2010
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- JCDL 2010
- Jun June 21, 2010
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- In Proc. of CHI 2010
- Apr April 10, 2010
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- IUI 2010
- Feb February 8, 2010
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- IUI 2010 Best Paper Award
- Feb February 7, 2010
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- Fuji Xerox Technical Report No. 19, pp. 88-100
- Jan January 1, 2010
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- 2009 IEEE International Conference on Multimedia and Expo (ICME)
- Jun June 30, 2009
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CloseThis paper presents a tool and a novel Fast Invariant Transform (FIT) algorithm for language independent e-documents access. The tool enables a person to access an e-document through an informal camera capture of a document hardcopy. It can save people from remembering/exploring numerous directories and file names, or even going through many pages/paragraphs in one document. It can also facilitate people’s manipulation of a document or people’s interactions through documents. Additionally, the algorithm is useful for binding multimedia data to language independent paper documents. Our document recognition algorithm is inspired by the widely known SIFT descriptor [4] but can be computed much more efficiently for both descriptor construction and search. It also uses much less storage space than the SIFT approach. By testing our algorithm with randomly scaled and rotated document pages, we can achieve a 99.73% page recognition rate on the 2188-page ICME06 proceedings and 99.9% page recognition rate on a 504-page Japanese math book.
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- ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 5, Issue 2
- May May 1, 2009
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- IUI '09
- Feb February 8, 2009
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- ACM Multimedia 2008
- Oct October 27, 2008
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- ACM Multimedia
- Oct October 27, 2008
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- Fuji Xerox Technical Report No. 17, pp. 83-100
- Nov November 1, 2007
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- ACM Multimedia 2007, pp. 423-432
- Sep September 24, 2007