DECISION-THEORETIC REGULATION FOR ALLOCATING COMPUTATIONAL RESOURCES AMONG COMPONENTS OF MULTIMEDIA CONTENT TO IMPROVE FIDELITY

A decision-theoretic regulator employs a method for allocating computational resources to components of media content to create the highest quality output for a budget of rendering resources. The components of the content represent parts of the content that have independent quality parameters that the regulator can vary to trade-off quality for computational savings. For example, in multimedia content, the components might be objects in a 3D graphics scene. The method allocates computational resources by attempting to minimize the total expected cost of a rendering task. The method computes the raw error for a rendering action on a component and then maps the raw error to a perceived error based on empirical evidence of how users perceive errors in rendered output. The expected cost is computed from the perceived error or raw error by applying a model of attention that gives the probability that a user is focusing his or her attention on a component. The method minimizes the total expected cost by selecting a rendering action for each component that yields the lowest expected cost for a given rendering budget.