Coding structure optimization for interactive multiview streaming in virtual world observation

While most multiview coding techniques focus on compressing all frames in a multiview video sequence in a rate-distortion optimal manner, in this paper we address the problem of interactive multiview streaming, where we minimize the expected transmission rate of an interactive multiview video stream, where the observer can select the view of the next frame, subject to a storage constraint. We show that gains can be achieved by optimizing the trade-off between overall storage and transmission rate, i.e., by storing a more redundant multiview representation (where some frames are encoded more than once, each time using a different reference frame) it is possible to reduce the overall bandwidth needed for online interactive viewing. We show that our proposed redundant representation can reduce the transmission cost of interactive multiview streaming by up to 65% as compared to a good non-redundant representation for the same storage constraint.