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Optimal bit allocation for subband video coding

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1 Author(s)
R. Atta ; Department of Electrical Engineering, Suez Canal University, Port Said, Egypt

An optimal subband bit allocation technique for optimal distribution of bits among the subbands is presented. The proposed technique is based on a new rate-distortion model, which switches between two types of models at lower and higher bit rates. Based on this model, it is possible to select the best R-D strategy among the lower bit rate model, the higher bit rate model and the average between them. The Lagrangian optimisation method is then used to minimise this distortion model for a given bit budget and to obtain an optimum bit distribution among the subbands. The proposed optimal bit allocation framework is implemented on the motion-compensated 2D subband/DCT scalable video codec, which provides quality signal-to-noise ratio (SNR) scalability. The results show that the proposed bit allocation method outperforms the uniform allocation of bits over a wide range of target bit rates. Moreover, simulation results show that the performance of the presented scalable video coding is slightly inferior to the single layer H.264/AVC but outperforms the SNR scalability supported in joint scalable video model (JSVM), the state-of-the-art scalable video coding standard, that achieves its gain through the hierarchical B-pictures.

Published in:

IET Image Processing  (Volume:4 ,  Issue: 5 )