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We present the preliminary results of a data mining study of a production line involving hundreds of variables related to mechanical, chemical, electrical and magnetic processes involved in manufacturing coated glass. The study was performed using two nonlinear, nonparametric approaches, namely neural network and CART, to model the relationship between the qualities of the coating and machine readings. Furthermore, neural network sensitivity analysis and CART variable rankings were used to gain insight into the coating process. Our initial results show the promise of data mining techniques to improve the production.

The automatic recognition of video clips is an important capability with applications in broadcast monitoring for content theft and adherence to advertisement campaign. We present an approach for video clip recognition based on HMM and Gaussian mixture modeling for modeling video and audio streams respectively. The approach is used to model TV commercials. The recognition results of using single stream and joint models are compared The error rate of 0.01% is achieved when the joint audiovisual processing model is employed.

The paper presents a modularization method for the design of MPEG decoding software. Compared to the traditional MPEG decoder architecture, the architecture obtained from the modularization method can effectively improve the flexibility and reusability of MPEG decoding software without affecting the speed performance. Using this design approach, the paper presents MPEG Developing Classes (MDC), a software tool for developing MPEG video applications. The feedback from users of MDC shows that MDC is flexible in use and easy to understand. It allows users to develop their specific decoders without going into details of MPEG.

Closed-loop video rendering implies generating video streams in compressed form given as input video streams that are in compressed form such as JPEG or MPEG bit streams. Closed-loop video rendering has significant advantages over open-loop schemes including reduced storage requirements which in turn reduces memory disk swapping time that constitutes a large portion of the time spent in the desktop editing of massive video material. Processing in the compressed domain also offers faster processing speeds due to the smaller data size present in the compressed domain. This approach also improves image quality since multiple decompression and compression processes are avoided during the editing process. Based on MPEG, a standard video compression scheme, the authors discuss fundamental techniques, analyze pros and cons, implications and preferences for a compressed domain video rendering system. A software-based system for real-time video rendering is proposed with preliminary results demonstrating the feasibility of their closed-loop MPEG video rendering approach.