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A joint multi rate optimization framework for video adaptation in H.264/AVC

机译:H.264 / AVC中用于视频自适应的联合多速率优化框架

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Due to the explosive growth in ubiquitous multimedia access, one needs to adapt the considerable number of pre-encoded video content to a wide variety of user constraints such as different resolution, bitrate, frame rate, processing power and platform. Current adaptation frameworks do not take the encoder into account. In other words the encoder optimizes its outcome for the base layer only, regardless of the remaining adaptation layers and the resulted distortion once the adaptation is applied. In this paper, a joint multi rate optimization algorithm has been proposed for H.264/AVC that generates an encoded bitstream that will have the minimum distortion across all the layers combined, hence providing an improved experience for a larger number of users. The proposed scheme, that only supports bitrate adaption, is independent of the adaptation algorithm and is applicable to most existing adaptation frameworks. Simulation results indicate that the proposed scheme improves the video quality by up to 0.8 dB. The quality improvement of the adapted content is more significant in lower bitrates where even small improvements are visually noticeable due to the inherent low quality in these bitrates.
机译:由于无处不在的多媒体访问的爆炸性增长,人们需要使大量的预编码视频内容适应各种用户约束,例如不同的分辨率,比特率,帧速率,处理能力和平台。当前的适应框架没有考虑编码器。换句话说,编码器仅针对基础层优化其结果,而与剩余的适应层以及一旦应用适应后产生的失真无关。在本文中,已经提出了一种针对H.264 / AVC的联合多速率优化算法,该算法可生成编码后的比特流,该编码后的比特流将在所有组合的所有层中将失真降到最低,从而为大量用户提供了更好的体验。所提出的仅支持比特率自适应的方案独立于自适应算法,并且适用于大多数现有的自适应框架。仿真结果表明,该方案将视频质量提高了0.8 dB。在较低的比特率下,改编内容的质量改进更为显着,由于这些比特率固有的低质量,即使在视觉上也可以看到很小的改进。

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