Overview of fine granularity scalability in MPEG-4 video standard
IEEE Transactions on Circuits and Systems for Video Technology
A hybrid temporal-SNR fine-granular scalability for Internet video
IEEE Transactions on Circuits and Systems for Video Technology
A framework for efficient progressive fine granularity scalable video coding
IEEE Transactions on Circuits and Systems for Video Technology
A robust fine granularity scalability using trellis-based predictive leak
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we propose an approach to automatically choose the α and β parameters in the RFGS coding scheme for the coding of video sequences. We first analyze the residuals after motion compensation with different parameter settings under various bit rates. We then investigate the relationship between the MSE gain and MSE loss for each bit-plane. With those models and relationships, we propose first an approach to automatically choose the sets of optimized parameters for a fixed bit rate. Then we propose an approach to deal with a range of bit rates. These two MSE-based approaches require only light computational loads.