An Adaptive Mode Driven Spatiotemporal Motion Vector Prediction for Wavelet Video Coding The threedimensional subbandwavelet codecs use 53 filters rather than Haar filters for the motion compensation temporal filtering (MCTF) to improve the coding gain. In order to curb the increased motion vector rate, an adaptive motion mode driven spatiotemporal motion vector prediction (AMDSTMVP) scheme is proposed. First, by making use of the direction histograms of four motion vector fields resulting from the initial spatial motion vector prediction (SMVP), the motion mode of the current GOP is determined according to whether the fast or complex motion exists in the current GOP. Then the GOPlevel MVP scheme is thereby determined by either the SMVP or the AMDSTMVP, namely, AMDSTMVP is the combination of SMVP and temporalMVP (TMVP). If the latter is adopted, the motion vector difference (MVD) between the neighboring MV fields and the SMVP resulting MV of the current block is employed to decide whether or not the MV of colocated block in the previous frame is used for prediction the current block. Experimental results show that AMDSTMVP not only can improve the coding efficiency but also reduce the number of computation complexity.

Generalized inscale motion compensation framework for spatial scalable video coding In existing video coding schemes with spatial scalability based on pyramid frame representation, such as the ongoing H.264MPEG4 SVC (scalable video coding) standard, video frame at a high resolution is mainly predicted either from the lowerresolution image of the same frame or from the temporal neighboring frames at the same resolution. Most of these prediction techniques fail to exploit the two correlations simultaneously and efficiently. This paper extends the inscale prediction technique developed for wavelet video coding to a generalized inscale motion compensation framework for H.264MPEG4 SVC. In this framework, for a video frame at a high resolution layer, the lowpass content is predicted from the information already coded in lower resolution layer, but the highpass content is predicted by exploiting the neighboring frames at current resolution. In this way, both the crossresolution correlation and temporal correlation are exploited simultaneously, which leads to much higher efficiency in prediction. Preliminary experimental results demonstrate that the proposed framework improves the spatial scalability performance of current H.264MPEG4 SVC. The improvement is significant especially for highfidelity video coding. In addition, another advantage over waveletbased inscale scheme is achieved that the proposed framework can support arbitrary downsampling and upsampling filters.