H.264/MPEG-4 AVC is the latest international video coding standard. Fidelity Range Extensions (FRExt) is recently
adopted as an amendment to AVC, which has demonstrated further coding efficiency improvements. With newly added
coding tools, FRExt encoders are very computationally demanding. In this work, several new algorithms are proposed to
optimize the FRExt-enabled features, including a fast rate-distortion optimized intra-mode decision algorithm and a fast
variable blocksize transform decision algorithm. Simulation results show that our proposed algorithm can reduce the
total encoder runtime by about 20%, with performance degradation within 0.1dB.
Global motion estimation is a powerful tool used in computer vision and video processing. In this paper, we propose an efficient approach of estimating general global motion parameters from coarsely sampled motion vector fields. The approach is based on gradient descent with outlier rejection. Experimental results show the effectiveness of the method in terms of robustness and accuracy.