Spatiotemporal Subband/Wavelet Coding of Video with Object-Based Motion Information

We present a novel object-based spatiotemporal (3-D) subband/wavelet coding scheme for very low bit-rate video compression. First, the image sequence is segmented into objects based on motion and color. The objects are then independently decomposed by sub-band/wavelet analysis, both in the temporal and spatial domain. The temporal analysis is greatly facilitated over existing methods by the object-based representation. Each object's subband/wavelet coeecients are then quantized according to a bit allocation scheme based on the generalised BFOS algorithm. Simulations at very low bit-rates indicate competitive performance to classical motion-compensated predictive (MCP) coding schemes, while allowing the exibility of frame-rate scalability.