Title :
An object-background image model for predictive video coding
Author :
Brofferio, Sergio C.
Author_Institution :
Dipartimento di Elettrotecnica ed Elettronica, Bari Univ., Italy
fDate :
12/1/1989 12:00:00 AM
Abstract :
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
Keywords :
encoding; picture processing; video signals; 64 kbit/s; background luminance updating algorithm; interframe state transition diagram; new-scene; object-background image model; picture processing; predictive video coding; three-state image model; Bit rate; Broadcasting; Communication system control; Conferences; Equations; ISDN; Image coding; Prediction algorithms; Predictive models; Read only memory; Throughput; Video coding;
Journal_Title :
Communications, IEEE Transactions on