The concept of quality layers (QLs) has been adopted in the scalable video coding standard to enable optimal rate adaptation of precoded video in the rate-distortion sense. QLs were previously extended to slain and multiple-view scalable video for efficient transport of 3DTV over the Internet. However, it is not possible to use the QL method in applications that require real-time encoding since the :priority determination process assumes the availability of the whole video sequence. In this work, a trellis-based online rate adaptation is proposed far: real-time scalable stereo video coding, with a delay of I group of pictures (GoP). The delay can, be controlled by selection of the GoP size according to the application; such as 16 frames for live broadcast or 8 or 4 frames for videoconferencing. In addition, the joint optimization of layer extraction for scalable multiview coded stereo video is also proposed. It is assumed that the encoder/extractor is aware of the available dynamic: network bandwidth in order to perform rate-distortion optimized medium-grain fidelity scalability layer selection for each GoP. Experimental results show that the performance of the proposed online :method is very close to that of QLs that would require the whole video sequence.