A A Perspective of Human-Centered Systems

This paper revises the conditions under which the translinear principle can be fully exploited for MOS transistors operating in subthreshold. Due to the exponential nature of subthreshold MOS transistors, the translinear principle applies immediately as long as the source-to-bulk voltages are made equal to zero (or constant). This paper addresses the conditions under which subthreshold MOS transistors still satisfy a translinear principle, but without imposing this constraint on all VBS voltages. It is found that the translinear principle results in a more general formulation than that originally found for BJT’s since now multiple translinear loops can be involved. The constraint of an even number of transistors is no longer necessary. Some corollaries are stated as well and, finally, it is shown how to use the theorem for subthreshold MOS transistors operated in the ohmic regime. IEEE Transactions on Circuits and Systems, Part I: Fundamental Theory and Applications , May 1999 pp. 607–616. B E S T CSVT TRANSACTIONS BEST PAPER AWARD “A Fully Automated Content-Based Video Search Engine Supporting Spatiotemporal Queries” Shih-Fu Chang, William Chen, Horace J. Meng, Hari Sundaram, and Di Zhong Abstract—The rapidity with which digital information, particularly video, is being generated has necessitated the development of tools for efficient search of these media. Content-based visual queries have been primarily focused on still image retrieval. In this paper, we propose a novel, interactive system on the Web, based on the visual paradigm, with spatiotemporal attributes playing a key role in video retrieval. We have developed innovative algorithms for automated video object segmentation and tracking, and use real-time video editing techniques while responding to user queries. The resulting system, called VideoQ (demo available at http://www.ctr.columbia.edu/VideoQ/), is the first on-line video search engine supporting automatic object-based indexing and spatiotemporal queries. The system performs well, with the user being able to retrieve complex video clips such as those of skiers and baseball players with ease.The rapidity with which digital information, particularly video, is being generated has necessitated the development of tools for efficient search of these media. Content-based visual queries have been primarily focused on still image retrieval. In this paper, we propose a novel, interactive system on the Web, based on the visual paradigm, with spatiotemporal attributes playing a key role in video retrieval. We have developed innovative algorithms for automated video object segmentation and tracking, and use real-time video editing techniques while responding to user queries. The resulting system, called VideoQ (demo available at http://www.ctr.columbia.edu/VideoQ/), is the first on-line video search engine supporting automatic object-based indexing and spatiotemporal queries. The system performs well, with the user being able to retrieve complex video clips such as those of skiers and baseball players with ease. IEEE Transactions on Circuits and Systems for Video Technology, September 1998, pp. 602–615.

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