Title :
Fast, accurate rate-control for low-rate wavelet-based image coding via bootstrapping with local probability models
Author :
Gaubatz, Matthew ; Hemami, Sheila S.
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
Abstract :
Real-time rate-control requires fast, accurate characterization of the relationship between wavelet subband step-size and rate. A rate-control algorithm is presented based on local properties of the function parameterizing this relationship, the rate-quantization or R-Q curve, for each subband. The behavior of this function is characterized by using the coder once, with step-sizes close to those that achieve the desired rate, which are determined entirely by a model-based technique. This solution requires a coder, a performance metric (which implies a subband-quantization strategy), and continuously differentiable (C1) R-Q curves. This approach differs from some previous approaches in that it is based on local structure of R-Q curves instead of a global property, and does not require any training. The proposed scheme produces step-sizes that achieve rates typically less than half a percent away from the target rate. This method is fast, accurate, coder independent, requires no training, and can be combined with any subband-based quantization scheme.
Keywords :
data compression; image coding; wavelet transforms; R-Q curves; bootstrapping; local probability models; low-rate wavelet-based image coding; model-based technique; rate-control algorithm; rate-quantization; real-time rate-control; subband-quantization strategy; wavelet subband step-size; Decoding; Entropy; Image coding; Measurement; Probability distribution; Quantization; Robustness; Size control; Streaming media; Transcoding;
Conference_Titel :
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN :
0-7803-9134-9
DOI :
10.1109/ICIP.2005.1530368