Ratesmoothed encoding for realtime video streaming applications For realtime video streaming applications over the constant bit rate channels, it is highly desired that video signals can be encoded in not only good average quality but also smooth video quality. However, in the case that the network resource is sufficiently large and the video quality has reached the target quality, the quality smoothing is not necessary and the rate smoothing is desired to avoid overusing the unnecessary network resource but also achieve a smoothed traffic rate. In this paper, we propose a novel realtime ratesmoothed encoding scheme by applying the low pass filtering idea. Both theoretical analysis and experimental results show that the proposed ratesmoothed encoding scheme can achieve a target average quality while significantly reducing the peak rate and the rate variance. We have further proposed a joint quality and rate smoothed encoding scheme, which can provide adaptive smoothing according to different situations. Experimental results show that the proposed joint smoothing scheme can make an optimal balance between the quality fluctuation and the rate fluctuation, and hence improve the overall system performance.

Localized Multiple Adaptive Interpolation Filters with SinglePass Encoding Adaptive interpolation filtering (AIF) algorithms have been proposed to enhance the hybrid video coding scheme recently. Although these algorithms can improve coding efficiency significantly, their encoders suffer huge increase in complexity in terms of latency and memory access due to its inherent multipass encoding structure. In this paper, we propose a novel singlepass solution for these algorithms, which allows optimal selection among different AIF filters. In this solution, timedelayed AIF filters are used to achieve singlepass encoding. Localized ratedistortion (RD) selection is used to compensate the possible coding loss by using timedelayed filters. Experimental results show that the proposed method is efficient for All AIF techniques in current ITUTSG16 reference software. By using the proposed method, singlepass encoding with multiple AIF filters can be achieved while maintaining similar coding efficiency as the multipass AIF.