Adaptive GOP structure selection for real-time MPEG-2 video encoding

This paper proposes an adaptive real-time group of pictures (GOP) structure selection method for real-time MPEG-2 video coding. This method changes the interval of P pictures dynamically in the the 3-picture period by using coding complexity with single pass encoding. Experimental results show that the prediction error is reduced to 88% ∼ 95% compared with the fixed GOP structure and the quality of inter-frame prediction pictures is improved. The proposed method selects the same GOP structure as that of an optimal method (multiple-pass encoding) in the time periods by over 93%. The method gives a close performance to the optimal encoding. It can be applied to real-time video recoding.