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The ability to automatically capture and index multimedia information for later perusal and review is critical to the success of future multimedia services. In this paper, we describe how to automatically generate indexes of real-time streams without requiring deep content analysis. Our techniques involve segmenting continuous audio and video into natural units, and relating these to discrete events from the multimedia application, such as user interactions, control events, and data content. In addition, we describe how to search within multimedia streams using query-based retrieval and visual and auditory retrieval modes. This multimodal retrieval allows for quick browsing and visual comprehension of multimedia streams. Finally we show how our techniques apply to the area of multimedia conference recording.

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HPC/VORX is a computing system that provides closely coupled computing between large numbers of processors. It also supports the connection of many host workstations which may be geographically distributed within the area of a large building and allows a single applications to span many processors and many workstations. We relate some of the lessons that were learned while building and using HPC/VORX and in the transition to HPC/VORX from a smaller, less capable system. The problems that we encountered included difficulties in scaling resource managers and human interfaces to large numbers of processors, the design of communications primitives and protocols, and the implementation of programming abstractions.