A Two-Layer Characteristic-based Rate Control Framework for Low Delay Video Transmission

— In this paper, we present a two-layer rate control In [4], their rate controller TMN8 applied the Lagrange framework for low delay video transmission based on a multiplier to decide MB-layer QPs by minimizing distortion characteristic-based rate-quantization (R-Q) model. Specifically, with the variance-based R-D model. In [5], multiple with the frame-layer characteristic-based R-Q model, we are able logarithmic functions are proposed to construct an adaptive R-to figure out the most appropriate quantization parameter (QP) to maintain targeted end-to-end delay by jointly considering the Q model. Recently, a modified TMN8 rate control framework current buffer status, network bandwidth and the variation of bit in [6] encodes each MB in the decreasing order of MB’s rate of the input video source. Next, in macroblock-layer (MB), a variances instead of raster scan. However, the main problem greed-based rate-distortion (R-D) refinement of MBs approach is of [1]-[6] is that variance or s...

• Type: Conference
• Year: 2007
• Where: ICC
• Authors: Chun-Yuan Chang, Ming-Hung Chen, Cheng-Fu Chou, Din-Yuen Chan
• Keywords: Bit Rate, Communications, ICC 2007, Rate Control, Rate Control Framework