In the circumstances we want to deal with, transmission channel is limited and global motion can happen by camera movement, and also there exists a region-of-interest (ROI) which is more important than background. So very low bit rate coding algorithm is required and processing of global motion must be considered. Also ROI must be reconstructed with required quality after decoding because of its importance. But the existing methods such as H. 261, H. 263 are not suitable for such situations because they do not compensate global motion, which needs large amount of transmission bits in motion information and degrades image quality. And also they can not reconstruct ROI's with high quality because they do not consider the fact that ROI's are more important than background. So a new coding scheme is proposed that describes a method for encoding image sequences distinguishing bits between ROI and background. Simulations show that the suggested algorithm performs well especially in the circumstances where background changes and the area of ROI is small enough compared with that of background.

This paper describes a method of coding image sequences based on global/local motion information. The suggested method initially estimates global motion parameters and segments a target region from a given image. Then we coded background and target region by assigning more bits to the target region and less bits to background in order to reconstruct the target region with high quality. Simulations show that the suggested algorithm has better result than the existing methods, especially in the circumstances where background changes and target region is small enough compared with that of background.