McFIS in hierarchical bipredictve pictures-based video coding for referencing the stable area in a scene

H.264/AVC video coding standard with hierarchical bipredictive picture (HBP) generally outperforms the other prediction structures such as ‘IPPP... ’ and ‘IBBP... ’ through better exploitation of data correlation using the preceding and succeeding reference frames. However, due to the different coding order of frames, the HBP scheme could not fully exploit the data correlations using multiple reference frames for occluded background, repetitive motion, etc. In this paper, we propose a new HBP scheme which uses the most common reference frame in scene (McFIS) as a third reference frame with other two closest bipredictive reference frames assuming that foreground and background areas of the current frame are referenced from the two bipredicted frames and the McFIS respectively. The experimental results confirm that the proposed scheme outperforms two state-of-art algorithms by improving significant image quality with comparable computational time. Index Terms — McFIS, Long term reference frames, uncovere