A Genetic Rate Control Algorithm for Video Compression

Rate control is crucial in controlling compression bitrates for video encoding. However, most rate control algorithms are heuristic, meaning that they are suboptimal and susceptible to get stuck into local optima. In this paper, we conduct a trial research which applies genetic algorithms to video rate control. Experimental results show that the proposed genetic rate control algorithm works well and achieves global optimal results, which can provide the upper-bound for performance evaluations of heuristic rate control algorithms.