Theoretical Analysis of the Rate-distortion Performance of a Light Field Streaming System

Large image-based rendering data sets such as light fields require efficient compression and random access to individual images for applications such as interactive streaming to a remote user. In our earlier work, we propose a theoretical framework to analyze the trade-off between compression efficiency and random access. In this current paper, we extend the theoretical framework by calculating distortion for a more general rendering scenario. We then use this result to derive the theoretical rate-distortion function for a streaming session, and show that the simulation results have similar trends as the actual experimental results.