MPEC-4 Based Intelligent Coding for Plume Video Sequences

摘要

The multimedia technology, which will lead in the 21st century, will depend on how to manipulate visual information efficiently, and will be focused on the interactive visual information exchange and user interactions. Among those technologies, MPEG-4 codec can multiplex a set of independently coded, arbitrarily shaped video objects and transmit it through either fixed or variable rate channels such as internet, wireless or satellite communications. Some quality control algorithms should support the encoding process of the visual objects to obtain and maintain best picture quality under the constraints of the quality requirements and channel environments. This research focuses on the design of the intelligent rate control algorithm via introducing global rate distortion (RD) model constructed by quadratic neural network, by evaluating data driven pattern analysis rather than rate distortion mathematical models. Proposed global R&D model is very useful in case the characteristics of the video sequences are rapidly varying. The regression based mathematical model may not support rapidly changing environments, because it requires the time to stabilize to generate appropriate Q steps. However, intelligent rate control based on the global RD model can generate appropriate Q steps immediately in feed forward manner. The performances of the proposed algorithm are superior than those of the MPEG-4 VM5+ rate control based on the regression process using mathematical RD model, in comparison with the average bits per frame to satisfy the channel constraints, encoded peak Signal to Noise Ratio (PSNR), and the number of frame skips.