首页> 外文会议>Visual Communications and Image Processing 2005 pt.2 >Two-Pass Rate-Distortion Optimized Rate Control Technique for H.264/AVC Video
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Two-Pass Rate-Distortion Optimized Rate Control Technique for H.264/AVC Video

机译:H.264 / AVC视频的两遍速率失真优化速率控制技术

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Rate control for video encoders can be partitioned into procedures of rate allocation and bit achievement at several levels. For non-real-time applications, we propose to adopt a two-pass video encoding mechanism, where the frame-level rate allocation in the second pass is characterized of using content-aware models constructed by using information collected in the first pass. In our proposed scheme, a video sequence is divided into units of non-overlapping window, where a two-pass procedure is sequentially applied. The goal of the first pass is to find the encoding modes and motion vectors (MVs) for each MB and generate the proposed R-λ (rate vs. Lagrangian multiplier) and D-λ (distortion vs. Lagrangian multiplier) models to represent content characteristics of each frame. In the second pass, the encoding modes and MVs for MBs found in the first pass are retained, but the QPs are re-assigned MB-by-MB according to bit-rate and distortion predictions based on the above-constructed models. The performance of the proposed two-pass video encoder was compared with the H.264 reference model JM8.0. From the results, the proposed method outperforms JM 8.0 in PSNR by up to 1.38 dB for the test images used. Besides, the proposed algorithm is capable of keeping a controlled bit rate of much more precision ( < 0.017% of error, two orders better than JM8.0), as well as a slightly smoother video quality, than that obtained by JM 8.0.
机译:视频编码器的速率控制可以分为几个级别的速率分配和位实现过程。对于非实时应用,我们建议采用两遍视频编码机制,其中第二遍中的帧级速率分配的特征是使用通过使用在第一遍中收集的信息构造的内容感知模型。在我们提出的方案中,视频序列被划分为非重叠窗口的单元,在其中依次应用两次通过程序。第一遍的目标是找到每个MB的编码模式和运动矢量(MV),并生成建议的R-λ(比率与Lagrangian乘数)和D-λ(失真与Lagrangian乘数)模型来表示内容每帧的特征。在第二遍中,保留了在第一遍中发现的MB的编码模式和MV,但是根据基于上述模型的比特率和失真预测,逐个MB重新分配了QP。拟议的两遍视频编码器的性能与H.264参考模型JM8.0进行了比较。从结果来看,对于所使用的测试图像,该方法在PSNR方面比JM 8.0高出1.38 dB。此外,与JM 8.0相比,该算法能够保持更高的受控比特率(错误率<0.017%,比JM8.0高两个数量级),并且视频质量略微更为平滑。

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