Distortion-Complexity Optimization of the H.264/MPEG-4 AVC Encoder using the GBFOS Algorithm

H.264/MPEG-4 AVC Encoder Parameter Selection Algorithms for Complexity Distortion Tradeoff

“…We apply the GBFOS-basic algorithm on the 14 ASL training videos and plot the results in Figure 1. The GBFOS-basic algorithm takes only 33 encodings per video vs. 3360 encodings per video for an exhaustive search [7]. We apply both our algorithms described in Section 3 to obtain extra parameter settings in the low and mid encode time regions indicated in Figure 4.…”

“…In [7], we presented two fast offline methods, based on the generalized Breiman, Friedman, Olshen, and Stone (GBFOS) algorithm [8], called the GBFOS-basic and the GBFOS-iterative algorithms. These algorithms perform joint distortion (PSNR-Y) and complexity (encode time) optimization for a fixed bit rate.…”

“…. , 7), that specify the number of iterations of half pixel and quarter-pixel diamond search that has to be performed on all candidate block types. Up to 16 reference frames (ref) can be used.…”

A Machine Learning based Framework for Parameter based Multi-Objective Optimisation of Video CODECs

“…An improvement to the work presented in [8] was proposed by the same authors in [4], in which two further algorithms for finding additional parameter settings for the GBFOS-basic algorithm were presented. However, a significant constraint of the work of [7,3] is its limited use only within two constraints namely, complexity and video quality.…”

“…In [8], the challenge to determine H.264 parameter settings that have low complexity but still offer high video quality was investigated.…”