7.5  Applications of the joint bit-allocation framework


From the viewpoint of the system designer, the proposed joint bit-allocation algorithm can be incorporated into various 3D video systems.

  1. Visual rendering only. The first possibility is to integrate the proposed algorithm into a 3D-TV system for solely maximizing the rendering quality. The proposed algorithm can be further integrated into the 3D-TV video processing system to optimize the quantizer settings such that the visual rendering quality is maximized within the N-depth/N-texture coding framework.
  2. View prediction/coding. The second possibility is to integrate the proposed algorithm into a multi-view texture encoder, as proposed in Chapter 5. Specifically, we have shown that image rendering can be used as a view-prediction algorithm and can be incorporated into an H.264/MPEG-4 AVC encoder to compress multi-view video. Because such a multi-view encoder relies on a depth image for view prediction, an appropriate depth quantizer that maximizes the prediction quality should be selected. Hence, by calculating optimal quantizer settings, the proposed algorithm maximizes the rendering quality, i.e., the view-prediction accuracy, such that a high coding performance is obtained.

Summarizing, the joint R-D algorithm attempts to maximize the rendering quality under a bit-rate constraint. This can be employed for rendering only, or for maximizing the view-prediction accuracy in the encoder, when that view prediction is applied in the coding algorithm. In both cases, no further parameter optimizations are carried out at the decoder and it will simply adopt the optimal quantizer settings for depth and texture and perform rendering accordingly.