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- Entry in Wiley's The Handbook of Technology Management
- Dec December 31, 2009
Publications
From 2009 (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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- ACM Multimedia 2009 Workshop on Large-Scale Multimedia Retrieval and Mining
- Oct October 23, 2009
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- ACM Multimedia
- Oct October 21, 2009
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- ACM Multimedia 2009
- Oct October 19, 2009
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- IJCSI International Journal of Computer Science Issues. Vol. 1.
- Oct October 15, 2009
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- Book chapter in "Designing User Friendly Augmented Work Environments" Series: Computer Supported Cooperative Work Lahlou, Saadi (Ed.) 2009, Approx. 340 p. 117 illus., Hardcove
- Sep September 30, 2009
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- ACM Mindtrek 2009
- Sep September 30, 2009
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CloseMost mobile navigation systems focus on answering the question,“I know where I want to go, now can you show me exactly how to get there?” While this approach works well for many tasks, it is not as useful for unconstrained situations in which user goals and spatial landscapes are more fluid, such as festivals or conferences. In this paper we describe the design and iteration of the Kartta system, which we developed to answer a slightly different question: “What are the most interesting areas here and how do I find them?”
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- Mobile HCI 2009 (poster)
- Sep September 15, 2009
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- Book chapter in "Understanding the New Generation Office: Collective Intelligence of 100 Specialists" (book project in Japan, by New Era Office Research Center, Tokyo)
- Aug August 18, 2009
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CloseA personal interface for information mash-up: exploring worlds both physical and virtual
This is a Big Idea piece for a collective intelligence book project by the New Era Office Research Center, Tokyo. It is written at the invitation of FX colleague Koushi Kawamoto. The project asks the same questions of 100 specialists: Answer these four questions about an idea for a next-generation workplace: 1. Want: what do I want to be able to do? 2. Should: what should a system to support this "want" be able to do? 3. Create: imagine what an instance of this idea might be. 4. Can: how could this instance be realized in reality?
WANT: In my ideal work environment, the data I need on everything and everyone should be available at my fingertips, all the time, in many configurations that I can mix-and-match to suit the needs of any task. This includes things like: • documents of all types • people's status, tasks, and availability • audio, video, mobile, and virtual world communication channels • links to the physical world as appropriate, for example sensors delivering factory data, or the state of the machines I use daily in the workplace (printers, my PC, conference room systems), or awareness data about my colleagues. CAN: How can we approach this problem? Let's consider the creation of a personal interface or instrument for information mashup, capable of interacting with complex data structures, for tuning smart environments, and for exploring worlds both physical and virtual, in business, social and personal realms. Like any interactive system this idea has two parts: human-facing and system-facing. These can be called Interstitia I (extending human interactivity) and Interstitia II (enabling smart environments).- Publication Details
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- Presentation at SIGGRAPH 2009, New Orleans, LA. ACM.
- Aug August 3, 2009
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- IEEE Pervasive Computing July-August 2009 (Journal, Works in Progress section)
- Jul July 18, 2009
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- Computer Graphics and Virtual Reality (CGVR '09)
- Jul July 13, 2009
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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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- 2009 IEEE International Conference on Multimedia and Expo (ICME)
- Jun June 30, 2009
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- Hypertext 2009
- Jun June 29, 2009
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- Journal article in Artificial Intelligence for Engineering Design, Analysis and Manufacturing (2009), 23, 263-274. Printed in the USA. 2009 Cambridge University Press.
- Jun June 17, 2009
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- Immerscom 2009
- May May 27, 2009
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- Pervasive 2009
- May May 11, 2009
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- ACM Transactions on Multimedia Computing, Communications and Applications, Vol. 5, Issue 2
- May May 1, 2009
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- WWW 2009
- Apr April 22, 2009
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- CHI2009
- Apr April 4, 2009
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- In Proceedings of CHI 2009
- Apr April 4, 2009
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- Computer, 42(3), IEEE
- Mar March 3, 2009
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- Book chapter in Handbook of Research on Socio-Technical Design and Social Networking Systems, eds. Whitworth B., and de Moor, A. Information Science Reference, pp. 529-543.
- Mar March 2, 2009
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- Proceedings of TRECVID 2008 Workshop
- Mar March 1, 2009