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A Hybrid Algorithm using Metaheuristics Applied to H.264/AVC Video Encoder

This paper focuses on the study and the analysis of the dynamic relationship among six parameters of the H.264/AVC video encoder, that are: frame rate, bit rate, quantization parameter for I slice, B slice, and P slice, and the number of B slices in the GOP (Group of Pictures). For this study, it was developed and implemented a hybrid algorithm called Simulator of Metaheuristics applied to a CODEC (SMC). The SMC algorithm consists of two metaheuristics that are Tabu Search and Genetic Algorithm. It tries to find the best configuration of the studied parameters in order to obtain a good quality and compression of the encoded video in the H.264/AVC standard. The SMC algorithm uses a maximization objective function as an objective evaluation method to reach the proposed goals.