The paper proposes a receiver-based rate-distortion optimized framework to stream interactively scalable bitstreams of light fields. Based on the desired viewpoints, the predicted future buffer state, the network characteristics, and the target transmission rate, the receiver customizes the data request in order to minimize the distortion in the frames to be rendered. Experimental results show that the proposed framework improves the rendering quality by 1.0-2.8 dB over a heuristic scheme at the same rate. Correspondingly, to achieve the same rendering quality the proposed framework reduces 25-35% of the rate over the heuristic scheme.
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