Abstract: Aiming at different bandwidth and user distribution, the choice of scalable video streaming media encoding scheme is a uncertain problem in encoding quality. In order to realize encoding quality under certain network bandwidth range and multi-user real-time access, a new approach to encoding scheme optimization of VSM adapted to network bandwidth and quality scalability with low complexity is proposed. On the basis of video content analysis and comprehension, according to statistical characteristics of MGS quality increments, corresponded R-D model is designed. Combined with I,P,B frames rate-distortion characteristics, video bit rate can be estimated firstly. Secondly combined with optimization algorithm, more reasonable SVC encoding scheme can be deduced. Finally, computational time complexity of the method is analyzed. Experimental study is performed on channel common testing platform defined by ITU-T Q.6/SG16 document, experimental results show that the approach to encoding optimization of VSM proposed in this paper can bring 0.3-1dB more gain than usual method and suitable for common transmission channel when it has similar time complexity as usual method.