【6h】

Multiple description video coding through adaptive segmentation

机译:通过自适应分段进行多描述视频编码

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摘要

Multiple description video coding is one method that can be used to reduce detrimental effects caused by transmission over lossy packet networks. In a multiple description system, a video sequence is segmented into two or more complimentary streams in such a way that each stream is independently decodable. When combined, the streams provide the highest level of quality, yet if one of the streams is lost or delivered late the video can be played out with only a slight reduction in overall quality. Each approach to multiple description coding consists of a tradeoff between compression efficiency and robustness. How efficiently each method achieves this tradeoff depends on the level of quality and robustness desired and on the characteristics of the video itself. Previous approaches to multiple description coding have made the assumption that a single segmentation method would be used for an entire sequence. Yet, the optimal method of segmentation can vary depending on the goals of the system, it can change over time, and it can vary within a frame. This work introduces a unique approach to multiple description coding through the use of adaptive segmentation. By selecting from a set of segmentation methods, the system adapts to the local characteristics of the video and maximizes tradeoff efficiency. We present an overview of this system and analyze its performance on real video sequences.
机译:多描述视频编码是一种可用于减少由有损分组网络上的传输引起的有害影响的方法。在多描述系统中,视频序列以每个流可独立解码的方式被分成两个或多个互补流。合并后,这些流将提供最高的质量,但是如果其中一个流丢失或延迟发送,则可以在整体质量略有降低的情况下播放视频。多种描述编码的每种方法都包括压缩效率和鲁棒性之间的权衡。每种方法实现此折衷的效率取决于所需的质量和鲁棒性水平以及视频本身的特性。先前用于多描述编码的方法已经做出了以下假设:单个分割方法将用于整个序列。然而,最佳的分割方法可以根据系统的目标而变化,可以随时间变化,并且可以在一帧内变化。这项工作通过使用自适应分段为多描述编码引入了一种独特的方法。通过从一组分割方法中进行选择,系统可以适应视频的局部特征,并最大化权衡效率。我们将对此系统进行概述,并分析其在真实视频序列上的性能。

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