of task-level saliency may be used to optimize the computation of animations, saving significant rendering time without altering the user's perception of the scene. Perception-guided rendering algorithms exploit models of the Human Visual System (HVS) to significantly reduce computational time when

including reflection, refraction, and scattering, one may think that the estimation of surface properties should involve deep, complex neural computations including 3D shape reconstruction. However, psychophysical evidence suggests that the perception of some surface qualities uses shallow and simple

We present a new approach to accelerating general ray shooting. Our technique uses a five-dimensional ray space partition and is based on the classic ray-classification algorithm. Where the original algorithm evaluates intersection candidates at run-time, our solution evaluates them as a preprocess.

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this paper, two important issues of SLE are discussed in greater detail: The first issue is the additional hardware that is introduced into the generated circuit to set and detect breakpoints, to read data path registers, and to control the circuit operation. The second issue of this paper is to define what a breakpoint is in terms of hardware and how these breakpoints can be set and detected without introducing a tremendous hardware overhead and without significantly slowing down the circuit. In the next section, an overview of SLE is given. Section 3 discusses the problem of obtaining tracing information between the specification and the RT level circuit. This motivates how breakpoints are defined and treated, which is shown in Section 4. Section 5 gives a detailed description of the hardware extensions needed for SLE. Section 6 applies the method to a simple design as an example. The paper concludes with some results in Section 7, and a summary

between processors. 1. Background A major challenge facing computer science today is the effective exploitation of parallelism. Functional languages offer a powerful lever on the progr81111ling of parallel machines, and the most promising model for implementing these languages is graph reduction. Many

We introduce music-driven video montage, a media format that of-fers a pleasant way to browse or summarize video clips collected from various occasions, including gatherings and adventures. In music-driven video montage, the music drives the composition of the video content. According to musical movement and beats, video clips are organized to form a montage that visually reflects the experiential properties of the music. Nonetheless, it takes enor-mous manual work and artistic expertise to create it. In this paper, we develop a framework for automatically generating music-driven video montages. The input is a set of video clips and a piece of background music. By analyzing the music and video content, our system extracts carefully designed temporal features from the in-put, and casts the synthesis problem as an optimization and solves the parameters through Markov Chain Monte Carlo sampling. The output is a video montage whose visual activities are cut and syn-chronized with the rhythm of the music, rendering a symphony of audio-visual resonance.

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for Computing Machinery Inc. By combining both collaborative and content-based filtering systems, Fab may eliminate many of the weaknesses found in each approach. Online readers are in need of tools to help them cope with the mass of content available on the World-Wide Web. In traditional media, readers