Background mosaicking for low bit rate video coding

This paper proposes a new technique to build a background memory based on mosaicking. More precisely, the technique first identifies background and foreground regions based on local motion estimates. Camera motion is then estimated on the background by applying parametric global motion estimation. Finally, after compensating for camera motion, the background content is temporally integrated in long-term memory. The method leads to high coding performances and allows for content-based functionalities.