Rate-distortion optimized streaming of compressed light fields

We propose a framework for the streaming of light fields over a lossy error-prone packet network. This system is optimized for the end-user according to a rate-distortion criterion. We build upon recent rate-distortion optimized streaming work for audio and video data. We extend this work to light field image data by introducing view-dependent distortion, multiple playout deadlines, and state-based distortion. In our experimental results, the rate-distortion optimized framework has a bit-rate reduction of up to 75% over a heuristic rule-based system.