Figure 1: An interactively controllable walking character using parametric motion graphs to smoothly move through an environment. The character is turning around to walk in the user-requested travel direction, depicted by the red arrow on the ground. AbstractIn this paper, we present an example-based motion synthesis technique that generates continuous streams of high-fidelity, controllable motion for interactive applications, such as video games. Our method uses a new data structure called a parametric motion graph to describe valid ways of generating linear blend transitions between motion clips dynamically generated through parametric synthesis in realtime. Our system specifically uses blending-based parametric synthesis to accurately generate any motion clip from an entire space of motions by blending together examples from that space. The key to our technique is using sampling methods to identify and represent good transitions between these spaces of motion parameterized by a continuously valued parameter. This approach allows parametric motion graphs to be constructed with little user effort. Because parametric motion graphs organize all motions of a particular type, such as reaching to different locations on a shelf, using a single, parameterized graph node, they are highly structured, facilitating fast decision-making for interactive character control. We have successfully created interactive characters that perform sequences of requested actions, such as cartwheeling or punching.

This paper presents a simple and efficient

Well-produced videos provide a convenient and effective way to archive lectures. In this article, we offer a new way to create lecture videos that retains many of the advantages of well-composed recordings, without the cost and intrusion of a video production crew. We present an automated system called Virtual Videography that employs the art of videography to mimic videographer-produced videos, while unobtrusively recording lectures. The system uses the data recorded by unattended video cameras and microphones to produce a new edited video as an offline postprocess. By producing videos offline, our system can use future information when planning shot sequences and synthesizing new shots. Using simple syntactic cues gathered from the original video and a novel shot planning algorithm, the system makes cinematic decisions without any semantic understanding of the lecture.

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Well-produced videos provide a convenient and effective way to archive lectures. In this article, we offer a new way to create lecture videos that retains many of the advantages of well-composed recordings, without the cost and intrusion of a video production crew. We present an automated system called Virtual Videography that employs the art of videography to mimic videographerproduced videos, while unobtrusively recording lectures. The system uses the data recorded by unattended video cameras and microphones to produce a new edited video as an offline postprocess. By producing videos offline, our system can use future information when planning shot sequences and synthesizing new shots. Using simple syntactic cues gathered from the original video and a novel shot planning algorithm, the system makes cinematic decisions without any semantic understanding of the lecture.