View-dependent scalable coding of light fields using ROI-based techniques
Yuichi Taguchi, Keita Takahashi, Takeshi Naemura · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2006
This paper proposes a scalable coding scheme for interactive streaming of dynamic light fields, in which a region of interest (ROI) approach is applied for multi-view image sets. In our method, the image segments that are essential for synthesizing the view requested by a remote user are included in an ROI, which is compressed and transmitted with high priority. Since the data for the desired view are transmitted with the data for its neighboring views as the ROI, the user can render high quality novel views around the desired viewpoint before the arrival of the next frame data. Thus our method can compensate the movement of the remote user even if the network has high latency. Since the user can arbitrarily choose the movable range of the viewpoint by changing the size and weight ratio of the ROI, we call this functionality view-dependent scalability. Using a modified JPEG2000 codec, we evaluated the view-dependent scalability of our scheme by measuring the quality of synthesized views against the distance from the originally desired viewpoint.