An object-background image model for predictive video coding

The author proposes a three-state image model whose elements are named object, background, and new-scene after their representation of the corresponding structural situation. An interframe state transition diagram controlled by luminance differences is introduced. The model is then utilized in a background luminance updating algorithm based on a maximum a posteriori probability. Applications of the model and the updating algorithm in predictive video coding at low bit rate (64 kb/s and less) are suggested