Semantic Alignment For Multi-Item Compression

Rendering multiple high-quality volumetric videos is still a challenge for today's mobile devices. Remote rendering offloads complex rendering operations to a powerful server and provides the final result to the end device as a 2D video stream. A drawback of remote rendering is the significant increase of interaction latency that can degrade the user experience. We present a planar homography-based approach that compensates minor changes of the user's head pose due to the interaction latency by warping the transmitted image on the client-side, just before it is sent to the display. in detail, we use the homography between the initial head pose when the image is rendered at the server and the latest available head pose of the user at the client. We perform controlled experiments using artificial camera traces to evaluate our approach. The results show that the proposed approach reduces the rendering errors significantly in terms of the mean-squared error between the rendered and reference images, especially combined with initial head motion prediction.