Improved temporal texture compression using camera motion estimation

In this paper, we introduce a new algorithm for continuous estimation of camera motion and zoom. We show that this method can be used to warp previously encoded frames into the perspective of the frame that is currently encoded. In particular, for so-called video or dynamic texture, that is, sequences exhibiting some kind of temporal periodicity or stationarity, a frame with a given temporal distance can be warped and added into the reference picture buffer to complement conventional reference frames. The rationale is that with these sequences, frames, or parts of frames, tend to reappear in a similar form after some time. We show that by combining a specifically tailored method for frame warping with exploitation of dynamic texture properties, bitrate savings surpassing the state-of-the-art can be achieved with a recent version of the HM software.