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QBIC* is a set of technologies and associated software that allows a user to search, browse, and retrieve image, graphic, and video data from large on-line collections. This paper discusses current research directions of the QBIC project such as indexing for high-dimensional multimedia data, retrieval of grey level images, and storyboard generation suitable for video. It describes aspects of QBIC software including scripting tools, application interfaces, and available GUIs, and gives examples of applications and demonstration systems using it.

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This paper presents an efficient optimized backlight local dimming method that minimizes power consumption under a given allowable distortion for liquid crystal displays with edge-lit light-emitting diode backlight. To reduce image quality fluctuation, an inequality constraint optimization problem is formulated using a given allowable distortion and the steepest descent method is used to solve the optimization problem. The experimental results show that the proposed method has better performance than previous methods at the same average power consumption in the unnoticeable level of the difference between the displayed images before and after dimming. Also, the proposed method reduces the risk of large performance degradation and reduces computation time by three times compared with the existing optimization based methods.Index Terms-Light-emitting diode (LED) backlight, light spread function (LSF), liquid crystal display (LCD), local dimming, optimization.