A fast algorithm of bit stream extraction using distortion prediction based on simulated annealing
首发时间:2012-12-20
Abstract:The scalable video streams can be extracted to meet the bandwidth limitations of different network end-users. Bit stream extraction is usually performed at the network proxy or gateway during transmissions, where a low computational complexity is always preferred. How to quickly and accurately select the best resolution combination for a video to meet different bandwidth requirements by each user is crucial in bit stream extraction. In this paper we proposed a fast algorithm of bit stream extraction for scalable video. The relationship between the base quality layer and the first quality layer was used to predict the distortion of higher quality layers. When quality of every layer is available, the proposed method searches for the optimal combination of quality layers based on simulated annealing. Experimental results show that the proposed method provides an optimized performance which is significantly higher than that can be achieved by the basic extraction method. Compared to the quality layer based extraction method in the reference software model of H.264/SVC (JSVM), the proposed algorithm can greatly decrease the decoding times from 2NT to only 2 without losing rate-distortion performance and can meet the demand of the real-time applications. Furthermore, the proposed method obtains a more smoothed video quality which is always preferable by the end user.
keywords: Scalable Video Coding (SVC) Bit stream extraction Real-time processing simulated annealing Coarse-grain Quality Scalability (CGS) Medium-grain Quality Scalability (MGS)
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一种基于模拟退火使用失真预测的快速码流抽取算法
摘要:可伸缩视频码流可以通过码流抽取来满足不同网络用户的带宽需求。码流抽取通常在网络节点处进行,所以如何快速准确的找到最优分辨率组合以满足不同的带宽需求,是码流抽取研究的关键。本文提出一种针对可伸缩视频编码的快速码流抽取算法。本算法应用质量基本层和质量一层间的关系来预测其它质量层的失真,之后通过模拟退火算法找到满足带宽的最优分辨率组合。实验结果表明,与可分级视频编码参考模型中的基本抽取方法相比,本文算法能够明显提高率失真性能;与基于质量层进行率失真优化的抽取方法相比,本文算法在取得相近的率失真性能的同时大大较低了运算复杂度,并且获得的视频质量更更加平稳。
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一种基于模拟退火使用失真预测的快速码流抽取算法
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