Content-Adaptive Wavelet-Based Scalable Video Coding

Motion-compensated temporal filtering (MCTF) is an essential ingredient of recently developed wavelet-based scalable video coding schemes. Lifting implementation of these decompositions represents a versatile tool for spatio-temporal optimizations and several improvements have already been proposed in this framework. Several coding parameters affect the performance of the scalable video coding scheme, such as the number of temporal levels and the interpolation filter used for sub-pixel accuracy. We show that the influence of these parameters depends on the video content. Thus, we present an adaptive way of choosing the value of these parameters, based on the video content. Experimental results show that the proposed method not only significantly improves the performance, but reduces the complexity of the coding procedure.