一种空域可分级的自适应视频码流控制方法
A New Adaptive Rate Control Algorithm with Spatial Scalability for Video Coding
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摘要: 在传统的CBR码流控制中,为防止缓冲器上溢,通常采用跳帧的方法来保持码率恒定。由于跳帧引起解码端运动补偿误差增大,客观上造成跳帧期间图像PSNR降低,图像失真度迅速增加,在主观上造成图像有跳跃感,画面不流畅。针对以上缺陷,该文基于H.263+的TMN8帧级码流控制算法,提出了一种空域可分级的自适应码流控制方法。该方法在编码端对原跳帧方法中不编码的帧进行自适应下采样编码,解码端通过上采样恢复。实验结果证明,该文提出的码流控制算法在低带宽条件下,图像质量较跳帧方法有较大提高。在低码率条件下,对于高运动图像该方法的平均PSNR值比采用跳帧的码流控制方法高0.3~0.8dB;比采用增大量化步长的方法高0.1~0.4dB,而对于跳帧阶段PSNR值,该算法比传统的跳帧方法高1~2dB左右。Abstract: In the traditional CBR rate control algorithm, the skipping method is adopted to combat the overflow of video buffer , in which the motion compensation error and picture distortion are increased with the number of skipping frame. To deal with the disadvantage of traditional skipping method, a new adaptive rate control algorithm with spatial scalability for video coding is presented in this paper. In the method, the original skipped frame is adaptively sub-sampled at encoder and is up-sampled in decoder. Simulation results show that this scheme can highly improve the quality of reconstructed video and obtain a gain of about0.3~0.8dB and 0.1~0.4dB in PSNR respectively compared with the traditional skipping method and the method of increasing quantization step.
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