Video transmission on the Internet often requires a transcoding in order for the bitrate to meet the available bandwidth. Since the bitrate of videos is determined by an amount of bits per frame(BPF) and framerate(FPS), one of or either of these should be reduced in transcoding. In addition, because there is a tradeoff between the BPF and FPS under a bitrate constraint, the BPF and FPS should be optimally determined to get the best subjective video quality. This paper proposes a framerate optimization method, which estimates an optimal framerate directly from a target video and a specified bitrate. Actually, an optimal framerate is derived by using a characteristic surface of Mean Opinion Score(MOS), which is estimated by suitable features of a target video. Comparison of the optimal framerate obtained by the actual measurement with one by the proposed technique has proved that the accuracy of estimation by the proposed technique is satisfactory for several open data sequences.
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