Rate-distortion optimization with inter-view refreshment for stereoscopic video coding over error-prone networks

Stereoscopic video is a practical and important manner for 3-D video applications, and robust stereoscopic video transmission over error-prone networks has posed a technical challenge for stereoscopic video coding. In this paper, we present a rate-distortion optimization algorithm with inter-view refreshment for error-resilient stereoscopic video coding. First, inter-view refreshment is proposed to suppress error propagations besides intra refreshment. Then, we propose an end-to-end distortion model for stereoscopic video coding which concurrently considers network conditions, inter-view refreshment, and error concealment tools. Finally, based on the proposed end-to-end distortion model, a rate-distortion optimization algorithm is presented to adaptively select inter-view, inter and intra coding modes for error-resilient stereoscopic video coding. Simulation results show that the proposed scheme has a superior transmission efficiency improvement for stereoscopic video coding.