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Presents a bit allocation scheme based on visual properties. Through the analysis of visual properties, corresponding visual importance estimates of segmented regions are made. As a result, the important regions of interest (ROD will be ascertained and allocated in order to the quantified ROI values which reflect the importance of each region. Experimental results show that the reconstructed image quality of the video coder produced by the algorithm accord with human subjective conclusion well, and the algorithm have desirable application value and low computation cost. [ABSTRACT FROM AUTHOR]

The bits allocation of video coder using mixed searching MP is proposed and the important ROI regions will be ascertained dynamically during the coding process. Referring to the above results, the original atoms searching scheme will De modified in order to distribute the atoms around the interested regions, thus the reconstructed images' quality of the matching pursuit video coder can De promoted. Experimental results showed that the reconstructed images' quality of the video coder produced by the algorithm accorded well with human subjective conclusion, and the algorithm have desirable application value and low computational cost. [ABSTRACT FROM AUTHOR]